cbl-imagine/CellID: Unbiased Extraction of Single Cell Identity using Multiple Correspondence Analysis
CellID take as input a matrix of expression level generated by SCRNA-Seq and performs dimensionality reduction using Multiple Corespondance Analysis. This enables a representation of both genes and cell in the same euclidean space with genes close to a particular cell or group of cells being specificly expressed in those. This property allows to get a ranking of specificity of genes for each cells giving the opportunity to extract meaningful geneset or perform geneset enrichment analysis.
Getting started
Browse package contents
Package details |
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| Bioconductor views | ATACSeq Clustering DNASeq DimensionReduction GeneExpression GeneSetEnrichment Normalization QualityControl RNASeq SingleCell |
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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