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ILoReg

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

Bioconductor version: 3.23 · Package version: 1.22.0

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.

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
Downloads rank271
Source branchRELEASE_3_23
biocViewsClustering, DataRepresentation, DifferentialExpression, DimensionReduction, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics, Visualization

Documentation

Download

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