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]|
|Bioconductor views||Clustering DataRepresentation DifferentialExpression DimensionReduction GeneExpression RNASeq SingleCell Software Transcription Transcriptomics Visualization|
|Maintainer||Johannes Smolander <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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