DOI: 10.18129/B9.bioc.ILoReg  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see ILoReg.

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

Bioconductor version: 3.16

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>

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biocViews Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GeneExpression, RNASeq, SingleCell, Software, Transcription, Transcriptomics, Visualization
Version 1.8.0
In Bioconductor since BioC 3.12 (R-4.0) (2.5 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
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