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#' @importFrom clusterProfiler enricher
NULL
# Performs Over Representation Analysis for a list of genes and a GMT
# This function was modified from the CEMiTool package.
# Chunks of code were retained "as is"
# @keywords internal
#
# @param topgenes a vector of genes
# @param gmt.list a gmt from prepare.gmt function
# @param allgenes a vector containing all genes to be considered as universe
#
# @return a data.frame containing the results
#
#
ora <- function(mod_name, gmt_list, allgenes, mods) {
if (missing(allgenes)) {
message("Using all genes in GMT file as universe.")
allgenes <- unique(gmt_list[, "gene"])
}
topgenes <- mods[[mod_name]]
enriched <- clusterProfiler::enricher(
gene = topgenes,
pvalueCutoff = 1,
qvalueCutoff = 1,
universe = allgenes,
TERM2GENE = gmt_list
)
# TERM2NAME = gmt_list[['term2name']])
if (!is.null(enriched) && !is.logical(enriched)) {
result <- enriched@result
} else {
if (mod_name != "Not.Correlated") {
warning("Enrichment for module ", mod_name, " is NULL")
}
result <- data.frame(
Module = character(),
ID = character(),
Description = character(),
GeneRatio = numeric(),
BgRatio = numeric(),
pvalue = numeric(),
p.adjust = numeric(),
qvalue = numeric(),
geneID = character(),
Count = numeric(),
stringsAsFactors = FALSE
)
}
return(result)
}
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