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Get top features for each consensus gene expression program

Usage

getTopGEPFeatures(x, name = "cNMF", k = NULL, n = 20)

Arguments

x

A SingleCellExperiment object with cNMF results

name

Character, name of the cNMF result (default "cNMF")

k

Integer, which k value to use. If NULL, uses optimal k

n

Integer, number of top features per program (default 20)

Value

List of character vectors, top features for each GEP

Examples

# sce <- runConsensusNMF(sce, k_range = 5:10)
# top_genes <- getTopGEPFeatures(sce, n = 20)