RausellLab/CelliD: Unbiased Extraction of Single Cell gene signatures using Multiple Correspondence Analysis

CelliD is a clustering-free multivariate statistical method for the robust extraction of per-cell gene signatures from single-cell RNA-seq. CelliD allows unbiased cell identity recognition across different donors, tissues-of-origin, model organisms and single-cell omics protocols. The package can also be used to explore functional pathways enrichment in single cell data.

Getting started

Package details

Bioconductor views ATACSeq Clustering DimensionReduction GeneExpression GeneSetEnrichment RNASeq SingleCell
LicenseGPL-3 + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
RausellLab/CelliD documentation built on Jan. 10, 2022, 6:31 p.m.