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.
Package details |
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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 <johannes.smolander@gmail.com> |
License | GPL-3 |
Version | 1.0.0 |
URL | https://github.com/elolab/ILoReg |
Package repository | View on Bioconductor |
Installation |
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