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.
|Bioconductor views||Clustering DataRepresentation DifferentialExpression DimensionReduction GeneExpression RNASeq SingleCell Software Transcription Transcriptomics Visualization|
|Package repository||View on GitHub|
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