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.
|Bioconductor views||ATACSeq Clustering DimensionReduction GeneExpression GeneSetEnrichment RNASeq SingleCell|
|License||GPL-3 + file LICENSE|
|Package repository||View on GitHub|
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