scClassify
This is the development version of scClassify; for the stable release version, see scClassify.
scClassify: single-cell Hierarchical Classification
Bioconductor version: Development (3.21)
scClassify is a multiscale classification framework for single-cell RNA-seq data based on ensemble learning and cell type hierarchies, enabling sample size estimation required for accurate cell type classification and joint classification of cells using multiple references.
Author: Yingxin Lin
Maintainer: Yingxin Lin <yingxin.lin at sydney.edu.au>
citation("scClassify")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scClassify")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scClassify")
pretrainedModel | HTML | R Script |
scClassify | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Classification, GeneExpression, SingleCell, Software |
Version | 1.19.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4.5 years) |
License | GPL-3 |
Depends | R (>= 4.0) |
Imports | S4Vectors, limma, ggraph, igraph, methods, cluster, minpack.lm, mixtools, BiocParallel, proxy, proxyC, Matrix, ggplot2, hopach, diptest, mgcv, stats, graphics, statmod, Cepo |
System Requirements | |
URL | |
Bug Reports | https://github.com/SydneyBioX/scClassify/issues |
See More
Suggests | knitr, rmarkdown, BiocStyle, pkgdown |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scClassify_1.19.0.tar.gz |
Windows Binary (x86_64) | scClassify_1.19.0.zip |
macOS Binary (x86_64) | scClassify_1.19.0.tgz |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/scClassify |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scClassify |
Bioc Package Browser | https://code.bioconductor.org/browse/scClassify/ |
Package Short Url | https://bioconductor.org/packages/scClassify/ |
Package Downloads Report | Download Stats |