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

Package details

Bioconductor views ATACSeq Clustering DNASeq DimensionReduction GeneExpression GeneSetEnrichment Normalization QualityControl RNASeq SingleCell
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
cbl-imagine/CellID documentation built on July 22, 2020, 7:18 p.m.