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 )
compendium | A string - the selected compendium |
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samplesetNames | A character vector (sampleset names) |
normalization | A string - either 'limma' (default),'tpm' or legacy as normalization |
rank | A string ('magnitude' as default) - use |
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 |
A SummarizedExperiment object
if (FALSE) { my_ids=c("U2FtcGxlU2V0VHlwZTo2NDE5","U2FtcGxlU2V0VHlwZToyMTg2OA==") mod_ss <- create_module_ss(samplesetNames = my_ids, normalization = "limma", top_n = 15, useIds = TRUE) }