Defining the identity of a cell is fundamental to understand the heterogeneity of cells to various environmental signals and perturbations. We present Cepo, a new method to explore cell identities from single-cell RNA-sequencing data using differential stability as a new metric to define cell identity genes. Cepo computes cell-type specific gene statistics pertaining to differential stable gene expression.
|Bioconductor views||Classification GeneExpression SingleCell Software|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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