create a module based on provided sample sets

create_module_ss(
  compendium = "vespucci",
  samplesetNames = NULL,
  normalization = "limma",
  rank = "uncentered_correlation",
  top_n = 50,
  sorted = FALSE,
  useIds = FALSE
)

Arguments

compendium

A string - the selected compendium

samplesetNames

A character vector (sampleset names)

normalization

A string - either 'limma' (default),'tpm' or legacy as normalization

rank

A string ('magnitude' as default) - use get_ranking

top_n

A numeric - an integer for selecting the top ranked samplesets

sorted

A logical (FALSE as default) - it returns a sorted index for both bf and ss

useIds

A logical (FALSE as default) - It allows using samplesetIds

Value

A SummarizedExperiment object

Examples

if (FALSE) { my_ids=c("U2FtcGxlU2V0VHlwZTo2NDE5","U2FtcGxlU2V0VHlwZToyMTg2OA==") mod_ss <- create_module_ss(samplesetNames = my_ids, normalization = "limma", top_n = 15, useIds = TRUE) }