multiScore: single-sample gene-set scoring method for multiple signatures

In singscore: Rank-based single-sample gene set scoring method

Description

This function computes 'singscores' using a ranked gene expression matrix obtained from the rankGenes() function and a GeneSetCollection object or a list of GeneSet objects. It returns a list of two matrices containing the scores and dispersions. This function should be used when scoring needs to be performed for multiple signatures. It is faster than applying simpleScore() across the different signatures independently.

Usage

multiScore(
  rankData,
  upSetColc,
  downSetColc,
  subSamples = NULL,
  centerScore = TRUE,
  dispersionFun = mad,
  knownDirection = TRUE
)

## S4 method for signature 'matrix,GeneSetCollection,missing'
multiScore(
  rankData,
  upSetColc,
  downSetColc,
  subSamples = NULL,
  centerScore = TRUE,
  dispersionFun = mad,
  knownDirection = TRUE
)

## S4 method for signature 'matrix,GeneSetCollection,GeneSetCollection'
multiScore(
  rankData,
  upSetColc,
  downSetColc,
  subSamples = NULL,
  centerScore = TRUE,
  dispersionFun = mad,
  knownDirection = TRUE
)

## S4 method for signature 'matrix,list,missing'
multiScore(
  rankData,
  upSetColc,
  downSetColc,
  subSamples = NULL,
  centerScore = TRUE,
  dispersionFun = mad,
  knownDirection = TRUE
)

## S4 method for signature 'matrix,list,list'
multiScore(
  rankData,
  upSetColc,
  downSetColc,
  subSamples = NULL,
  centerScore = TRUE,
  dispersionFun = mad,
  knownDirection = TRUE
)

Arguments

rankData	A matrix object, ranked gene expression matrix data generated using the rankGenes() function (make sure this matrix is not modified, see details)
upSetColc	A GeneSetCollection object or a list of GeneSet objects of up-regulated (or mixed, see simpleScore) gene sets.
downSetColc	A GeneSetCollection object or a list of GeneSet objects of down-regulated gene sets. NULL otherwise. Names of gene sets wihtin this collection/list should be the same as those of the upSetColc
subSamples	A vector of sample labels/indices that will be used to subset the rankData matrix. All samples will be scored if not provided
centerScore	A Boolean, specifying whether scores should be centered around 0, default as TRUE. Note: scores never centered if knownDirection = FALSE
dispersionFun	A function, dispersion function with default being mad
knownDirection	A boolean, determining whether the gene set should be considered to be directional or not. A gene set is directional if the type of genes in it are known i.e. up- or down-regulated. This should be set to TRUE if the gene set is composed of both up- AND down-regulated genes. Defaults to TRUE. This parameter becomes irrelevant when both upSet(Colc) and downSet(Colc) are provided.

Value

A list of two matrices containing the scores and dispersions

See Also

rank "GeneSet"

Examples

ranked <- rankGenes(toy_expr_se)
GSEABase::setName(toy_gs_up)  = "toy_gs_up"
GSEABase::setName(toy_gs_dn)  = "toy_gs_dn"
gslist <- list(toy_gs_up, toy_gs_dn)

gscolc <- GSEABase::GeneSetCollection(gslist)
scoredf <- multiScore(ranked, upSetColc = gscolc)

singscore documentation built on Nov. 8, 2020, 8:27 p.m.