Description Usage Arguments Value
View source: R/kernel_enrichment.R
Perform gene set enrichment analysis using a kernel-weighted GSEA score on a matrix of genes x samples
1 2 3 4 5 6 7 8 | kernelEnrichmentMulti(
geneSets,
expressionVals,
genes,
minSetSize = 0,
randomization_n = 1000,
parallel = FALSE
)
|
geneSets |
a list of gene name vectors |
expressionVals |
a matrix/table of gene scores such as differential expression values or Z-scores, genes x samples |
genes |
a vector of gene names in the same order as the rows of expressionVals |
minSetSize |
minimum number of genes that must be in gene set after filtering |
randomization_n |
number of rounds of randomization for empirical p-value calculation |
parallel |
run analysis using multicore parallel operations *may break* |
tibble with rows for each geneSet x each sample
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