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
Browse package contents
Package details |
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| Bioconductor views | ATACSeq Clustering DimensionReduction GeneExpression GeneSetEnrichment RNASeq SingleCell |
| Maintainer | |
| License | GPL-3 + file LICENSE |
| Version | 1.3.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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