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ILoReg

ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data

Bioconductor version: 3.24 · Package version: 1.23.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.ILoReg

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ILoReg")

Details

MaintainerJohannes Smolander <johannes.smolander@gmail.com>
AuthorJohannes Smolander [cre, aut], Sini Junttila [aut], Mikko S Venäläinen [aut], Laura L Elo [aut]
LicenseGPL-3
URLhttps://github.com/elolab/ILoReg
Bug Reportshttps://github.com/elolab/ILoReg/issues
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsClustering, DataRepresentation, DifferentialExpression, DimensionReduction, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics, Visualization
Package Short Url https://bioconductor.org/packages/ILoReg/

Citation

From within R, enter citation("ILoReg"):

Johannes Smolander, Sini Junttila, Mikko S Venäläinen, Laura L Elo. ILoReg: ILoReg: a tool for high-resolution cell population identification from scRNA-Seq data. doi:10.18129/B9.bioc.ILoReg, R package version 1.23.0, https://bioconductor.org/packages/ILoReg.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageILoReg_1.23.0.tar.gz
Windows binary (x86_64)ILoReg_1.23.0.zip
macOS binary (arm64)ILoReg_1.23.0.tgz
macOS binary (x86_64)ILoReg_1.23.0.tgz
Dependencies

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

Suggests: knitr, rmarkdown, BiocStyle