parCallEnsemble | R Documentation |
parCallEnsemble Parallel version: Make subtype calls for each sample
parCallEnsemble(X, path = "data", geneids = "symbol", numCores = 2)
X |
gene expression matrix, genes in row.names, samples in column.names |
path |
the path to the ensemble model, stored as RData, and named 'ens' |
geneids |
either hgnc for gene symbols or entrez ids. will be matched to the EB++ matrix |
numCores |
number of cores to use with parallel lib |
table, column 1 is best call, remaining columns are subtype prediction scores.
calls <- callEnsemble(mods, X, Y)
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