ILoReg
This is the development version of ILoReg; for the stable release version, see ILoReg.
ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data
Bioconductor version: Development (3.21)
ILoReg is a tool for identification of cell populations from scRNA-seq data. In particular, ILoReg is useful for finding cell populations with subtle transcriptomic differences. The method utilizes a self-supervised learning method, called Iteratitive Clustering Projection (ICP), to find cluster probabilities, which are used in noise reduction prior to PCA and the subsequent hierarchical clustering and t-SNE steps. Additionally, functions for differential expression analysis to find gene markers for the populations and gene expression visualization are provided.
Author: Johannes Smolander [cre, aut], Sini Junttila [aut], Mikko S Venäläinen [aut], Laura L Elo [aut]
Maintainer: Johannes Smolander <johannes.smolander at gmail.com>
citation("ILoReg")
):
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("ILoReg")
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("ILoReg")
ILoReg package manual | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics, Visualization |
Version | 1.17.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (4 years) |
License | GPL-3 |
Depends | R (>= 4.0.0) |
Imports | Matrix, parallel, foreach, aricode, LiblineaR, SparseM, ggplot2, cowplot, RSpectra, umap, Rtsne, fastcluster, parallelDist, cluster, dendextend, DescTools, plyr, scales, pheatmap, reshape2, dplyr, doRNG, SingleCellExperiment, SummarizedExperiment, S4Vectors, methods, stats, doSNOW, utils |
System Requirements | |
URL | https://github.com/elolab/ILoReg |
Bug Reports | https://github.com/elolab/ILoReg/issues |
See More
Suggests | knitr, rmarkdown, BiocStyle |
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 | ILoReg_1.17.0.tar.gz |
Windows Binary (x86_64) | ILoReg_1.17.0.zip |
macOS Binary (x86_64) | ILoReg_1.17.0.tgz |
macOS Binary (arm64) | ILoReg_1.17.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ILoReg |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ILoReg |
Bioc Package Browser | https://code.bioconductor.org/browse/ILoReg/ |
Package Short Url | https://bioconductor.org/packages/ILoReg/ |
Package Downloads Report | Download Stats |