##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:EWCE.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings EWCE_1.15.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.21-bioc/meat/EWCE.Rcheck’
* using R Under development (unstable) (2024-11-20 r87352)
* using platform: aarch64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Ventura 13.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘EWCE/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘EWCE’ version ‘1.15.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘EWCE’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... NOTE
checkRd: (-1) compute_gene_scores.Rd:42: Lost braces in \itemize; meant \describe ?
checkRd: (-1) compute_gene_scores.Rd:43: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:186-187: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:188-189: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:190-192: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:52-55: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:56-58: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:59-61: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:62-64: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:65-68: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:69-74: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:108: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:109-110: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:111: Lost braces
   111 | \item{code{list} : \cr}{A \code{list} or character \code{vector}.}
       |           ^
checkRd: (-1) drop_uninformative_genes.Rd:111: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:124: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:125: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:126-127: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:132: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:133: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:134-136: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:137-138: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:139-140: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:159-162: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:163-166: Lost braces in \itemize; meant \describe ?
checkRd: (-1) drop_uninformative_genes.Rd:167-170: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:46-49: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:50-52: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:53-55: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:56-58: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:59-62: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:63-68: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:110: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:111-112: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:113: Lost braces
   113 | \item{code{list} : \cr}{A \code{list} or character \code{vector}.}
       |           ^
checkRd: (-1) extract_matrix.Rd:113: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:126: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:127: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:128-129: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:134: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:135: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:136-138: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:139-140: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:141-142: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:161-164: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:165-168: Lost braces in \itemize; meant \describe ?
checkRd: (-1) extract_matrix.Rd:169-172: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:44-47: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:48-50: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:51-53: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:54-56: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:57-60: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:61-66: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:79: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:80-81: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:82: Lost braces
    82 | \item{code{list} : \cr}{A \code{list} or character \code{vector}.}
       |           ^
checkRd: (-1) filter_nonorthologs.Rd:82: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:95: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:96: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:97-98: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:103: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:104: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:105-107: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:108-109: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:110-111: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:147-150: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:151-154: Lost braces in \itemize; meant \describe ?
checkRd: (-1) filter_nonorthologs.Rd:155-158: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:74-77: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:78-80: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:81-83: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:84-86: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:87-90: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:91-96: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:131: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:132-133: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:134: Lost braces
   134 | \item{code{list} : \cr}{A \code{list} or character \code{vector}.}
       |           ^
checkRd: (-1) generate_celltype_data.Rd:134: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:147: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:148: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:149-150: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:155: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:156: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:157-159: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:160-161: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:162-163: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:182-185: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:186-189: Lost braces in \itemize; meant \describe ?
checkRd: (-1) generate_celltype_data.Rd:190-193: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:49-52: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:53-55: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:56-58: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:59-61: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:62-65: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:66-71: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:120: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:121-122: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:123: Lost braces
   123 | \item{code{list} : \cr}{A \code{list} or character \code{vector}.}
       |           ^
checkRd: (-1) standardise_ctd.Rd:123: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:136: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:137: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:138-139: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:144: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:145: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:146-148: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:149-150: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:151-152: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:171-174: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:175-178: Lost braces in \itemize; meant \describe ?
checkRd: (-1) standardise_ctd.Rd:179-182: Lost braces in \itemize; meant \describe ?
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... NOTE
Documented arguments not in \usage in Rd file 'get_exp_data_for_bootstrapped_genes.Rd':
  ‘full_results’

Functions with \usage entries need to have the appropriate \alias
entries, and all their arguments documented.
The \usage entries must correspond to syntactically valid R code.
See chapter ‘Writing R documentation files’ in the ‘Writing R
Extensions’ manual.
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                                            user system elapsed
controlled_geneset_enrichment              7.672  1.127   9.084
merged_ewce                                7.312  0.433   8.029
filter_nonorthologs                        6.734  0.190   7.066
filter_genes_without_1to1_homolog          6.328  0.185   6.646
generate_bootstrap_plots_for_transcriptome 6.132  0.378   6.894
generate_bootstrap_plots                   4.788  0.303   5.442
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/Users/biocbuild/bbs-3.21-bioc/meat/EWCE.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL EWCE
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/library’
* installing *source* package ‘EWCE’ ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (EWCE)

R Under development (unstable) (2024-11-20 r87352) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(EWCE)
Loading required package: RNOmni
> 
> test_check("EWCE")
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Loading required namespace: ggdendro
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_testthat.rda
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_testthat.rda
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 core(s) assigned as workers (23 reserved).
=== START walking on horizontal strip 1/5 ===
  | processing <4159 x 3005> block from grid position [[1/5, 1/1]] ... ok
=== DONE walking on horizontal strip 1/5 ===
--- START finalizing result for horizonal strip 1/5 ---
  | result is a <4159 x 7> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 1/5 ---

=== START walking on horizontal strip 2/5 ===
  | processing <4159 x 3005> block from grid position [[2/5, 1/1]] ... ok
=== DONE walking on horizontal strip 2/5 ===
--- START finalizing result for horizonal strip 2/5 ---
  | result is a <4159 x 7> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 2/5 ---

=== START walking on horizontal strip 3/5 ===
  | processing <4159 x 3005> block from grid position [[3/5, 1/1]] ... ok
=== DONE walking on horizontal strip 3/5 ===
--- START finalizing result for horizonal strip 3/5 ---
  | result is a <4159 x 7> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 3/5 ---

=== START walking on horizontal strip 4/5 ===
  | processing <4159 x 3005> block from grid position [[4/5, 1/1]] ... ok
=== DONE walking on horizontal strip 4/5 ===
--- START finalizing result for horizonal strip 4/5 ---
  | result is a <4159 x 7> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 4/5 ---

=== START walking on horizontal strip 5/5 ===
  | processing <3336 x 3005> block from grid position [[5/5, 1/1]] ... ok
=== DONE walking on horizontal strip 5/5 ===
--- START finalizing result for horizonal strip 5/5 ---
  | result is a <3336 x 7> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 5/5 ---

=== FINAL STEP ===
  | rbind()'ing strip results (5 matrices) together ... ok
=== DONE ===

Converting to sparse matrix.
Converting to sparse matrix.
1 core(s) assigned as workers (23 reserved).
=== START walking on vertical strip 1/1 ===
  | processing <4159 x 3005> block from grid position [[1/5, 1/1]] ... ok
  | processing <4159 x 3005> block from grid position [[2/5, 1/1]] ... ok
  | processing <4159 x 3005> block from grid position [[3/5, 1/1]] ... ok
  | processing <4159 x 3005> block from grid position [[4/5, 1/1]] ... ok
  | processing <3336 x 3005> block from grid position [[5/5, 1/1]] ... ok
=== DONE walking on vertical strip 1/1 ===

=== START walking on vertical strip 1/1 ===
  | processing <4159 x 3005> block from grid position [[1/5, 1/1]] ... ok
  | processing <4159 x 3005> block from grid position [[2/5, 1/1]] ... ok
  | processing <4159 x 3005> block from grid position [[3/5, 1/1]] ... ok
  | processing <4159 x 3005> block from grid position [[4/5, 1/1]] ... ok
  | processing <3336 x 3005> block from grid position [[5/5, 1/1]] ... ok
=== DONE walking on vertical strip 1/1 ===

Loading required namespace: sctransform
Converting to sparse matrix.
Calculating cell attributes from input UMI matrix: log_umi
Variance stabilizing transformation of count matrix of size 17757 by 3005
Model formula is y ~ log_umi
Get Negative Binomial regression parameters per gene
Using 2000 genes, 3005 cells

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |==================                                                    |  25%
  |                                                                            
  |===================================                                   |  50%
  |                                                                            
  |====================================================                  |  75%
  |                                                                            
  |======================================================================| 100%
Found 10 outliers - those will be ignored in fitting/regularization step

Second step: Get residuals using fitted parameters for 17757 genes

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |==                                                                    |   3%
  |                                                                            
  |====                                                                  |   6%
  |                                                                            
  |======                                                                |   8%
  |                                                                            
  |========                                                              |  11%
  |                                                                            
  |==========                                                            |  14%
  |                                                                            
  |============                                                          |  17%
  |                                                                            
  |==============                                                        |  19%
  |                                                                            
  |================                                                      |  22%
  |                                                                            
  |==================                                                    |  25%
  |                                                                            
  |===================                                                   |  28%
  |                                                                            
  |=====================                                                 |  31%
  |                                                                            
  |=======================                                               |  33%
  |                                                                            
  |=========================                                             |  36%
  |                                                                            
  |===========================                                           |  39%
  |                                                                            
  |=============================                                         |  42%
  |                                                                            
  |===============================                                       |  44%
  |                                                                            
  |=================================                                     |  47%
  |                                                                            
  |===================================                                   |  50%
  |                                                                            
  |=====================================                                 |  53%
  |                                                                            
  |=======================================                               |  56%
  |                                                                            
  |=========================================                             |  58%
  |                                                                            
  |===========================================                           |  61%
  |                                                                            
  |=============================================                         |  64%
  |                                                                            
  |===============================================                       |  67%
  |                                                                            
  |=================================================                     |  69%
  |                                                                            
  |===================================================                   |  72%
  |                                                                            
  |====================================================                  |  75%
  |                                                                            
  |======================================================                |  78%
  |                                                                            
  |========================================================              |  81%
  |                                                                            
  |==========================================================            |  83%
  |                                                                            
  |============================================================          |  86%
  |                                                                            
  |==============================================================        |  89%
  |                                                                            
  |================================================================      |  92%
  |                                                                            
  |==================================================================    |  94%
  |                                                                            
  |====================================================================  |  97%
  |                                                                            
  |======================================================================| 100%
Calculating gene attributes
Wall clock passed: Time difference of 14.91243 secs
Computing corrected UMI count matrix

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |==                                                                    |   3%
  |                                                                            
  |====                                                                  |   6%
  |                                                                            
  |======                                                                |   8%
  |                                                                            
  |========                                                              |  11%
  |                                                                            
  |==========                                                            |  14%
  |                                                                            
  |============                                                          |  17%
  |                                                                            
  |==============                                                        |  19%
  |                                                                            
  |================                                                      |  22%
  |                                                                            
  |==================                                                    |  25%
  |                                                                            
  |===================                                                   |  28%
  |                                                                            
  |=====================                                                 |  31%
  |                                                                            
  |=======================                                               |  33%
  |                                                                            
  |=========================                                             |  36%
  |                                                                            
  |===========================                                           |  39%
  |                                                                            
  |=============================                                         |  42%
  |                                                                            
  |===============================                                       |  44%
  |                                                                            
  |=================================                                     |  47%
  |                                                                            
  |===================================                                   |  50%
  |                                                                            
  |=====================================                                 |  53%
  |                                                                            
  |=======================================                               |  56%
  |                                                                            
  |=========================================                             |  58%
  |                                                                            
  |===========================================                           |  61%
  |                                                                            
  |=============================================                         |  64%
  |                                                                            
  |===============================================                       |  67%
  |                                                                            
  |=================================================                     |  69%
  |                                                                            
  |===================================================                   |  72%
  |                                                                            
  |====================================================                  |  75%
  |                                                                            
  |======================================================                |  78%
  |                                                                            
  |========================================================              |  81%
  |                                                                            
  |==========================================================            |  83%
  |                                                                            
  |============================================================          |  86%
  |                                                                            
  |==============================================================        |  89%
  |                                                                            
  |================================================================      |  92%
  |                                                                            
  |==================================================================    |  94%
  |                                                                            
  |====================================================================  |  97%
  |                                                                            
  |======================================================================| 100%
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
+ <2 non-zero quantile bins detected in column. Assigning these values to default quantile  ( 20 )
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 core(s) assigned as workers (23 reserved).
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
17 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
2 significant cell type enrichment results @ q<0.05 : 

              CellType annotLevel p fold_change sd_from_mean q
1            microglia          1 0    1.820518     2.409647 0
2 astrocytes_ependymal          1 0    1.357308     1.995351 0
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Standardising sct_data.
Aligning celltype names with standardise_ctd format.
Checking gene list inputs.
2 celltype(s) remain @ <= 0.05
Resampling random genes.
Generating bootstrap plot for 2 celltype(s).
Saving plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText____VignetteGraphs.pdf
Saving plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtgene____VignetteGraphs.pdf
Saving plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/bootDists____VignetteGraphs.pdf
Saving plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/bootDists_LOG____VignetteGraphs.pdf
$plot1

$plot2

$plot3

$plot4

Warning: genelistSpecies not provided. Setting to 'human' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
15,259 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
13,416 genes extracted.
Extracting genes from ortholog_gene.
13,416 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 46 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 56 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   2,016 / 15,259 (13%)
Total genes remaining after convert_orthologs :
   13,243 / 15,259 (87%)
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
Returning 19,129 unique genes from entire human genome.
Using intersect between background gene lists: 16,482 genes.
Standardising sct_data.
Using 1st column of tt as gene column: HGNC.symbol
1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
6 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
1 significant cell type enrichment results @ q<0.05 : 

           CellType annotLevel p fold_change sd_from_mean q
1 endothelial_mural          1 0    1.960864     4.367242 0
1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
5 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
2 significant cell type enrichment results @ q<0.05 : 

      CellType annotLevel p fold_change sd_from_mean q
1 interneurons          1 0    1.742023     3.948853 0
2 pyramidal_SS          1 0    1.991393     3.203248 0
Warning: genelistSpecies not provided. Setting to 'human' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Aligning celltype names with standardise_ctd format.
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
15,259 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
13,416 genes extracted.
Extracting genes from ortholog_gene.
13,416 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 46 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 56 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   2,016 / 15,259 (13%)
Total genes remaining after convert_orthologs :
   13,243 / 15,259 (87%)
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
Returning 19,129 unique genes from entire human genome.
Using intersect between background gene lists: 16,482 genes.
Standardising sct_data.
Using 1st column of tt as gene column: HGNC.symbol
Generating exp data for bootstrap genes.
Converting data for bootstrap tests to sparse matrices.
endothelial_mural : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____endothelial_mural.pdf
endothelial_mural : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____endothelial_mural.pdf
endothelial_mural : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____endothelial_mural.pdf
$plot1

$plot2

microglia : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____microglia.pdf
microglia : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____microglia.pdf
microglia : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____microglia.pdf
$plot1

$plot2

oligodendrocytes : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____oligodendrocytes.pdf
oligodendrocytes : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____oligodendrocytes.pdf
oligodendrocytes : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____oligodendrocytes.pdf
$plot1

$plot2

interneurons : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____interneurons.pdf
interneurons : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____interneurons.pdf
interneurons : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____interneurons.pdf
$plot1

$plot2

astrocytes_ependymal : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____astrocytes_ependymal.pdf
astrocytes_ependymal : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____astrocytes_ependymal.pdf
astrocytes_ependymal : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____astrocytes_ependymal.pdf
$plot1

$plot2

pyramidal_CA1 : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____pyramidal_CA1.pdf
pyramidal_CA1 : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____pyramidal_CA1.pdf
pyramidal_CA1 : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____pyramidal_CA1.pdf
$plot1

$plot2

pyramidal_SS : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirUp___examples____pyramidal_SS.pdf
pyramidal_SS : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirUp___examples____pyramidal_SS.pdf
pyramidal_SS : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirUp___examples____pyramidal_SS.pdf
$plot1

$plot2

Generating exp data for bootstrap genes.
Converting data for bootstrap tests to sparse matrices.
interneurons : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____interneurons.pdf
interneurons : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____interneurons.pdf
interneurons : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____interneurons.pdf
$plot1

$plot2

pyramidal_SS : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____pyramidal_SS.pdf
pyramidal_SS : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____pyramidal_SS.pdf
pyramidal_SS : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____pyramidal_SS.pdf
$plot1

$plot2

pyramidal_CA1 : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____pyramidal_CA1.pdf
pyramidal_CA1 : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____pyramidal_CA1.pdf
pyramidal_CA1 : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____pyramidal_CA1.pdf
$plot1

$plot2

oligodendrocytes : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____oligodendrocytes.pdf
oligodendrocytes : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____oligodendrocytes.pdf
oligodendrocytes : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____oligodendrocytes.pdf
$plot1

$plot2

microglia : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____microglia.pdf
microglia : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____microglia.pdf
microglia : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____microglia.pdf
$plot1

$plot2

endothelial_mural : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____endothelial_mural.pdf
endothelial_mural : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____endothelial_mural.pdf
endothelial_mural : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____endothelial_mural.pdf
$plot1

$plot2

astrocytes_ependymal : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_noText_thresh250__dirDown___examples____astrocytes_ependymal.pdf
astrocytes_ependymal : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSym_thresh250__dirDown___examples____astrocytes_ependymal.pdf
astrocytes_ependymal : Saving bootstrap plot --> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/BootstrapPlots/qqplot_wtGSymBIG_thresh250__dirDown___examples____astrocytes_ependymal.pdf
$plot1

$plot2

see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
22 genes extracted.
Converting human ==> mouse orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Checking for genes without orthologs in mouse.
Extracting genes from input_gene.
17 genes extracted.
Extracting genes from ortholog_gene.
17 genes extracted.
Checking for genes without 1:1 orthologs.
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   5 / 22 (23%)
Total genes remaining after convert_orthologs :
   17 / 22 (77%)
1 core(s) assigned as workers (23 reserved).
1 core(s) assigned as workers (23 reserved).
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Standardising CellTypeDataset
Checking gene list inputs.
Running with gene size control.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Retrieving all genes using: gprofiler
Retrieving all organisms available in gprofiler.
Using stored `gprofiler_orgs`.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: hsapiens
Gene table with 63,150 rows retrieved.
Returning all 63,150 genes from human.
63,150 human Ensembl IDs and 40,977 human Gene Symbols imported.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Controlled bootstrapping network generated.
17 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
1 significant cell type enrichment results @ q<0.05 : 

   CellType annotLevel p fold_change sd_from_mean q
1 microglia          1 0    2.079331     5.793469 0
1 core(s) assigned as workers (23 reserved).
Returning 15,604 unique genes from the user-supplied bg.
Standardising CellTypeDataset
Checking gene list inputs.
Converting gene list input to standardised human genes.
1 core(s) assigned as workers (23 reserved).
Returning 15,589 unique genes from the user-supplied bg.
Standardising CellTypeDataset
Checking gene list inputs.
Converting gene list input to standardised human genes.
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
22 genes extracted.
Converting human ==> rat orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Retrieving all organisms available in homologene.
Mapping species name: rat
Common name mapping found for rat
1 organism identified from search: 10116
Checking for genes without orthologs in rat.
Extracting genes from input_gene.
18 genes extracted.
Extracting genes from ortholog_gene.
18 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 2 genes that have multiple input_gene per ortholog_gene (many:1).
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   7 / 22 (32%)
Total genes remaining after convert_orthologs :
   15 / 22 (68%)
1 core(s) assigned as workers (23 reserved).
Generating gene background for mouse x rat ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- rat
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: rat
Common name mapping found for rat
1 organism identified from search: 10116
Gene table with 20,616 rows retrieved.
Returning all 20,616 genes from rat.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
20,616 genes extracted.
Converting rat ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: rat
Common name mapping found for rat
1 organism identified from search: 10116
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
16,989 genes extracted.
Extracting genes from ortholog_gene.
16,989 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 122 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 607 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,813 / 20,616 (23%)
Total genes remaining after convert_orthologs :
   15,803 / 20,616 (77%)
--

=========== REPORT SUMMARY ===========

15,803 / 20,616 (76.65%) target_species genes remain after ortholog conversion.
15,803 / 19,129 (82.61%) reference_species genes remain after ortholog conversion.
15,450 intersect background genes used.
Standardising CellTypeDataset
Checking gene list inputs.
Converting gene list input to standardised human genes.
Running without gene size control.
15 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
1 significant cell type enrichment results @ q<0.05 : 

   CellType annotLevel p fold_change sd_from_mean q
1 microglia          1 0    2.156018     4.415353 0
Standardising CellTypeDataset
Found 5 matrix types across 2 CTD levels.
Processing level: 1
Processing level: 2
1 core(s) assigned as workers (23 reserved).
Generating gene background for monkey x mouse ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- monkey
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: monkey
Common name mapping found for monkey
1 organism identified from search: 9544
Gene table with 16,843 rows retrieved.
Returning all 16,843 genes from monkey.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
16,843 genes extracted.
Converting monkey ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: monkey
Common name mapping found for monkey
1 organism identified from search: 9544
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
15,675 genes extracted.
Extracting genes from ortholog_gene.
15,675 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 197 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 215 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   1,726 / 16,816 (10%)
Total genes remaining after convert_orthologs :
   15,090 / 16,816 (90%)
--

=========== REPORT SUMMARY ===========

15,077 / 16,816 (89.66%) target_species genes remain after ortholog conversion.
15,077 / 19,129 (78.82%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
13,875 intersect background genes used.
Standardising CellTypeDataset
Checking gene list inputs.
Converting gene list input to standardised human genes.
Running without gene size control.
11 hit gene(s) remain after filtering.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
0 significant cell type enrichment results @ q<0.05 : 

1 core(s) assigned as workers (23 reserved).
Generating gene background for godzilla x mouse ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- godzilla
1 core(s) assigned as workers (23 reserved).
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Standardising CellTypeDataset
Checking gene list inputs.
1 core(s) assigned as workers (23 reserved).
Returning 15,604 unique genes from the user-supplied bg.
Standardising CellTypeDataset
Checking gene list inputs.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Check 1000Check 3005
Warning: sctSpecies not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
Checking for non-expressed genes.
Checking for cells with no expressed genes.
DGE:: Limma...
248 / 1,000 genes dropped @ DGE adj_pval_thresh < 1e-05
Time difference of 0.4814079 secs
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_kiCortexOnly.rda
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_kiCortexOnly.rda
Loading precomputed example bootstrap results.
Aligning celltype names with standardise_ctd format.
7 signficiant enrichment results @ bonferroni < 0.05
14.3% of hits are of the target cell type.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
Standardising CellTypeDataset
Found 5 matrix types across 2 CTD levels.
Processing level: 1
Processing level: 2
Generating controlled bootstrap gene sets.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Warning: genelistSpecies not provided. Setting to 'human' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
15,259 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
13,416 genes extracted.
Extracting genes from ortholog_gene.
13,416 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 46 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 56 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   2,016 / 15,259 (13%)
Total genes remaining after convert_orthologs :
   13,243 / 15,259 (87%)
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
Returning 19,129 unique genes from entire human genome.
Using intersect between background gene lists: 16,482 genes.
Standardising sct_data.
Using 1st column of tt as gene column: HGNC.symbol
1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
28 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
1 significant cell type enrichment results @ q<0.05 : 

           CellType annotLevel p fold_change sd_from_mean q
1 endothelial_mural          1 0    1.628635     4.684982 0
1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
26 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
0 significant cell type enrichment results @ q<0.05 : 

see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Warning: genelistSpecies not provided. Setting to 'human' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
15,259 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
13,416 genes extracted.
Extracting genes from ortholog_gene.
13,416 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 46 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 56 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   2,016 / 15,259 (13%)
Total genes remaining after convert_orthologs :
   13,243 / 15,259 (87%)
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
Returning 19,129 unique genes from entire human genome.
Using intersect between background gene lists: 16,482 genes.
Standardising sct_data.
Using 1st column of tt as gene column: HGNC.symbol
1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
10 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
0 significant cell type enrichment results @ q<0.05 : 

1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
8 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
1 significant cell type enrichment results @ q<0.05 : 

       CellType annotLevel p fold_change sd_from_mean q
1 pyramidal_CA1          1 0    1.318978     1.682404 0
Warning: genelistSpecies not provided. Setting to 'human' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
Preparing gene_df.
character format detected.
Converting to data.frame
Extracting genes from input_gene.
15,259 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
13,416 genes extracted.
Extracting genes from ortholog_gene.
13,416 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 46 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 56 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Returning gene_map as dictionary

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   2,016 / 15,259 (13%)
Total genes remaining after convert_orthologs :
   13,243 / 15,259 (87%)
Generating gene background for mouse x human ==> human
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- mouse
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Gene table with 21,207 rows retrieved.
Returning all 21,207 genes from mouse.
--
--
Preparing gene_df.
data.frame format detected.
Extracting genes from Gene.Symbol.
21,207 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
17,355 genes extracted.
Extracting genes from ortholog_gene.
17,355 genes extracted.
Checking for genes without 1:1 orthologs.
Dropping 131 genes that have multiple input_gene per ortholog_gene (many:1).
Dropping 498 genes that have multiple ortholog_gene per input_gene (1:many).
Filtering gene_df with gene_map
Adding input_gene col to gene_df.
Adding ortholog_gene col to gene_df.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   4,725 / 21,207 (22%)
Total genes remaining after convert_orthologs :
   16,482 / 21,207 (78%)
--

=========== REPORT SUMMARY ===========

16,482 / 21,207 (77.72%) target_species genes remain after ortholog conversion.
16,482 / 19,129 (86.16%) reference_species genes remain after ortholog conversion.
Gathering ortholog reports.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.

-- human
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
--

=========== REPORT SUMMARY ===========

19,129 / 19,129 (100%) target_species genes remain after ortholog conversion.
19,129 / 19,129 (100%) reference_species genes remain after ortholog conversion.
16,482 intersect background genes used.
Retrieving all genes using: homologene.
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Gene table with 19,129 rows retrieved.
Returning all 19,129 genes from human.
Returning 19,129 unique genes from entire human genome.
Using intersect between background gene lists: 16,482 genes.
Standardising sct_data.
Using 1st column of tt as gene column: HGNC.symbol
1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
11 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
0 significant cell type enrichment results @ q<0.05 : 

1 core(s) assigned as workers (23 reserved).
Standardising CellTypeDataset
Checking gene list inputs.
Running without gene size control.
9 hit gene(s) remain after filtering.
Computing gene scores.
Using previously sampled genes.
Computing gene counts.
Testing for enrichment in 7 cell types...
Sorting results by p-value.
Computing BH-corrected q-values.
0 significant cell type enrichment results @ q<0.05 : 

Loading precomputed example bootstrap results.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Filtering CTD to 100 genes.
level: 1
Found 5 matrix types across 1 CTD levels.
   - mean_exp
   - median_exp
   - specificity
   - median_specificity
   - specificity_quantiles
level: 2
Found 5 matrix types across 1 CTD levels.
   - mean_exp
   - median_exp
   - specificity
   - median_specificity
   - specificity_quantiles
Standardising CellTypeDataset
Found 5 matrix types across 2 CTD levels.
Processing level: 1
Processing level: 2
Filtering CTD to 100 genes.
level: level_1
Found 5 matrix types across 1 CTD levels.
   - mean_exp
   - median_exp
   - specificity
   - median_specificity
   - specificity_quantiles
level: level_2
Found 5 matrix types across 1 CTD levels.
   - mean_exp
   - median_exp
   - specificity
   - median_specificity
   - specificity_quantiles
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Check 1000Check 3005
Warning: sctSpecies_origin not provided. Setting to 'mouse' by default.
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
Checking for non-expressed genes.
Checking for cells with no expressed genes.
DGE:: Limma...
248 / 1,000 genes dropped @ DGE adj_pval_thresh < 1e-05
Time difference of 0.4689422 secs
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_kiCortexOnly.rda
+ Processing level 1 ...
Processing mean_exp
Processing specificity
Processing specificity_quantiles
+ Processing level 2 ...
Processing mean_exp
Processing specificity
Processing specificity_quantiles
No input_species provided. Setting to 'mouse'
+ Processing level 1 ...
Processing mean_exp
Processing specificity
Processing specificity_quantiles
+ Processing level 2 ...
Processing mean_exp
Processing specificity
Processing specificity_quantiles
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
trying URL 'http://www.informatics.jax.org/downloads/reports/MRK_List2.rpt'
Content type 'unknown' length 87596825 bytes (83.5 MB)
==================================================
downloaded 83.5 MB

see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 rows do not have proper MGI symbols
Mar-01
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 rows do not have proper MGI symbols
Mar-01
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
10 of 10 are not proper HGNC symbols.
Possible corruption of gene names by excel: Mar-01
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
10 of 10 are not proper HGNC symbols.
Possible corruption of gene names by excel: Mar-01
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
10 of 10 are not proper HGNC symbols.
Possible corruption of gene names by excel: Mar-01
Maps last updated on: Sat Nov 16 10:35:32 2024
Maps last updated on: Sat Nov 16 10:35:32 2024
9 of 10 gene symbols corrected.
1 of 10 gene symbols cannot be mapped.
Converting to sparse matrix.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 rows do not have proper MGI symbols
Tm4sf12
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 poorly annotated genes are replicates of existing genes. These are: 
Tspan12
Converting to sparse matrix.
1 rows should have been corrected by checking synonyms.
0 rows STILL do not have proper MGI symbols.

see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
0 rows do not have proper MGI symbols

see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
669 rows do not have proper MGI symbols
2310042E22Rik, BC005764, C130030K03Rik, Stmn1-rs1, Gm9846, E130309F12Rik, Fam211b, AI848285, Acpl2, 9630033F20Rik, Adrbk2, Syne1_loc2, Adc, Dlx1os, LOC106740, Pdxp, Atp6v0c-ps2, 2900056M20Rik, Epb4.1l1, A330050F15Rik
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
308 rows do not have proper MGI symbols
2310042E22Rik, BC005764, C130030K03Rik, Stmn1-rs1, Gm9846, E130309F12Rik, Fam211b, AI848285, Acpl2, 9630033F20Rik, Adrbk2, Syne1_loc2, Adc, Dlx1os, LOC106740, Pdxp, Atp6v0c-ps2, 2900056M20Rik, Epb4.1l1, A330050F15Rik
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 poorly annotated genes are replicates of existing genes. These are: 
Hjurp
Converting to sparse matrix.
185 rows should have been corrected by checking synonyms.
126 rows STILL do not have proper MGI symbols.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
308 rows do not have proper MGI symbols
2310042E22Rik, BC005764, C130030K03Rik, Stmn1-rs1, Gm9846, E130309F12Rik, Fam211b, AI848285, Acpl2, 9630033F20Rik, Adrbk2, Syne1_loc2, Adc, Dlx1os, LOC106740, Pdxp, Atp6v0c-ps2, 2900056M20Rik, Epb4.1l1, A330050F15Rik
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 poorly annotated genes are replicates of existing genes. These are: 
Hjurp
Converting to sparse matrix.
185 rows should have been corrected by checking synonyms.
126 rows STILL do not have proper MGI symbols.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
1 core(s) assigned as workers (23 reserved).
Preparing gene_df.
Dense matrix format detected.
Extracting genes from rownames.
100 genes extracted.
Converting mouse ==> human orthologs using: homologene
Retrieving all organisms available in homologene.
Mapping species name: mouse
Common name mapping found for mouse
1 organism identified from search: 10090
Retrieving all organisms available in homologene.
Mapping species name: human
Common name mapping found for human
1 organism identified from search: 9606
Checking for genes without orthologs in human.
Extracting genes from input_gene.
91 genes extracted.
Extracting genes from ortholog_gene.
91 genes extracted.
Checking for genes without 1:1 orthologs.
Filtering gene_df with gene_map
Setting ortholog_gene to rownames.
Converting obj to sparseMatrix.

=========== REPORT SUMMARY ===========

Total genes dropped after convert_orthologs :
   9 / 100 (9%)
Total genes remaining after convert_orthologs :
   91 / 100 (91%)
Converting to sparse matrix.
Converting to DelayedArray.
+ Calculating normalized mean expression.
=== START walking on horizontal strip 1/1 ===
  | processing <91 x 3005> sparse block from grid position [[1/1, 1/1]] ... ok
=== DONE walking on horizontal strip 1/1 ===
--- START finalizing result for horizonal strip 1/1 ---
  | result is a <91 x 7> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 1/1 ---

Converting to sparse matrix.
=== START walking on horizontal strip 1/1 ===
  | processing <91 x 3005> sparse block from grid position [[1/1, 1/1]] ... ok
=== DONE walking on horizontal strip 1/1 ===
--- START finalizing result for horizonal strip 1/1 ---
  | result is a <91 x 48> matrix --> returning as-is
--- DONE finalizing result for horizonal strip 1/1 ---

Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_allKImouse.rda
+ Returning list of CTD file name, and the CTD itself.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
Filtering by variance quantiles.
Converting to DelayedArray.
120 / 300 genes dropped @ DGE min_variance_quantile >= 5
Converting to sparse matrix.
Calculating cell attributes from input UMI matrix: log_umi
Variance stabilizing transformation of count matrix of size 300 by 3005
Model formula is y ~ log_umi
Get Negative Binomial regression parameters per gene
Using 300 genes, 3005 cells

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
Found 2 outliers - those will be ignored in fitting/regularization step

Second step: Get residuals using fitted parameters for 300 genes

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
Calculating gene attributes
Wall clock passed: Time difference of 2.699129 secs
Computing corrected UMI count matrix

  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |======================================================================| 100%
Filtering by variance quantiles.
Converting to DelayedArray.
120 / 300 genes dropped @ DGE min_variance_quantile >= 5
Filtering by variance quantiles.
Converting to DelayedArray.
120 / 300 genes dropped @ DGE min_variance_quantile >= 5
Filtering by variance quantiles.
Converting to DelayedArray.
/ reading and realizing block 1/1 ... ok
\ processing it ... ok
120 / 300 genes dropped @ DGE min_variance_quantile >= 5
Retrieving all organisms available in homologene.
Returning table with all species.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
+ CTD ==> SingleCellExperiment
Converting level:  level_1
Returning all possible matrix names.
Converting level:  level_2
Returning all possible matrix names.
The assay 'mean_exp' will be used to determine the proportion of zeroes for each batch.
Converting CTD to merged SCEs
ctd1
+ CTD ==> SingleCellExperiment
Converting level:  level_1
Returning all possible matrix names.
Converting level:  level_2
Returning all possible matrix names.
ctd2
+ CTD ==> SingleCellExperiment
Converting level:  level_1
Returning all possible matrix names.
Converting level:  level_2
Returning all possible matrix names.
Merging SCE at level: 1
[1] "ctd1"
[1] "15259 x 7"
[1] "ctd2"
[1] "15259 x 7"
The assay 'mean_exp' will be used to determine the proportion of zeroes for each batch.
Merging SCE at level: 2
[1] "ctd1"
[1] "15259 x 48"
[1] "ctd2"
[1] "15259 x 48"
The assay 'mean_exp' will be used to determine the proportion of zeroes for each batch.
[1] "level_1"
[1] "level_2"
Saving SCE_merged ==> /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/merged/CTD_SCE_merged.union.rds
+ Must set `as_SCE=TRUE` in order to merge CTD.
+ Returning merged CTD.
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_fileb9572028ff03level_1.rda
+ Returning list of CTD file name, and the CTD itself.
1 core(s) assigned as workers (23 reserved).
Converting to sparse matrix.
+ Calculating normalized mean expression.
Converting to sparse matrix.
+ Calculating normalized specificity.
Converting to sparse matrix.
Converting to sparse matrix.
+ Saving results ==>  /var/folders/r0/l4fjk6cj5xj0j3brt4bplpl40000gt/T//Rtmp4x04De/ctd_fileb957637e2e73level_2.rda
+ Returning list of CTD file name, and the CTD itself.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
0 non-overlapping gene(s) removed from exp1.
0 non-overlapping gene(s) removed from exp2.
19,972 intersecting genes remain.
Converting to data.frame
Converting to data.frame
Converting to sparse matrix.
see ?ewceData and browseVignettes('ewceData') for documentation
loading from cache
DGE:: Limma...
Loading required namespace: DESeq2
DGE:: DESeq2...
1 core(s) assigned as workers (23 reserved).
converting counts to integer mode
  Note: levels of factors in the design contain characters other than
  letters, numbers, '_' and '.'. It is recommended (but not required) to use
  only letters, numbers, and delimiters '_' or '.', as these are safe characters
  for column names in R. [This is a message, not a warning or an error]
estimating size factors
  Note: levels of factors in the design contain characters other than
  letters, numbers, '_' and '.'. It is recommended (but not required) to use
  only letters, numbers, and delimiters '_' or '.', as these are safe characters
  for column names in R. [This is a message, not a warning or an error]
estimating dispersions
gene-wise dispersion estimates
mean-dispersion relationship
-- note: fitType='parametric', but the dispersion trend was not well captured by the
   function: y = a/x + b, and a local regression fit was automatically substituted.
   specify fitType='local' or 'mean' to avoid this message next time.
  Note: levels of factors in the design contain characters other than
  letters, numbers, '_' and '.'. It is recommended (but not required) to use
  only letters, numbers, and delimiters '_' or '.', as these are safe characters
  for column names in R. [This is a message, not a warning or an error]
final dispersion estimates
fitting model and testing
  Note: levels of factors in the design contain characters other than
  letters, numbers, '_' and '.'. It is recommended (but not required) to use
  only letters, numbers, and delimiters '_' or '.', as these are safe characters
  for column names in R. [This is a message, not a warning or an error]
Loading required namespace: MAST
`fData` has no primerid.  I'll make something up.
`cData` has no wellKey.  I'll make something up.
[ FAIL 0 | WARN 44 | SKIP 0 | PASS 134 ]

[ FAIL 0 | WARN 44 | SKIP 0 | PASS 134 ]
> 
> proc.time()
   user  system elapsed 
222.331  13.304 269.230