R: Compute and plot word frequencies for multiple MSigDB...

plotMsigWordcloud {vissE}

R Documentation

Compute and plot word frequencies for multiple MSigDB collections

Description

Given a gene set collection, this function computes the word frequency of gene set names from the Molecular Signatures Database (MSigDB) collection (split by _). Word frequencies are also computed using short descriptions attached with each gene set object.

Usage

plotMsigWordcloud(
  msigGsc,
  groups,
  weight = NULL,
  measure = c("tfidf", "tf"),
  version = msigdb::getMsigdbVersions(),
  org = c("auto", "hs", "mm"),
  rmwords = getMsigBlacklist(),
  type = c("Name", "Short")
)

Arguments

`msigGsc`	a GeneSetCollection object, containing gene sets from the MSigDB. The `GSEABase::getBroadSets()` function can be used to parse XML files downloaded from MSigDB.
`groups`	a named list, of character vectors or numeric indices specifying node groupings. Each element of the list represent a group and contains a character vector with node names.
`weight`	a named numeric vector, containing weights to apply to each gene-set. This can be -log10(FDR), -log10(p-value) or an enrichment score (ideally unsigned).
`measure`	a character, specifying how frequencies should be computed. "tf" uses term frequencies and "tfidf" (default) applies inverse document frequency weights to term frequencies.
`version`	a character, specifying the version of msigdb to use (see `msigdb::getMsigdbVersions()`).
`org`	a character, specifying the organism to use. This can either be "auto" (default), "hs" or "mm".
`rmwords`	a character vector, containing a blacklist of words to discard from the analysis.
`type`	a character, specifying the source of text mining. Either gene set names (`Name`) or descriptions (`Short`) can be used.

Value

a ggplot object.

Examples

data("hgsc")
groups <- list('g1' = names(hgsc)[1:25], 'g2' = names(hgsc)[26:50])
plotMsigWordcloud(hgsc, groups, rmwords = getMsigBlacklist())

[Package vissE version 1.2.2 Index]