View source: R/ModelSeries_fitModels.R
trainDataProc | R Documentation |
Binary data preprocessing based on expression matrix and real clustering
trainDataProc(
Xmat,
Yvec,
geneSet,
subtype = 1,
ptail = 0.5,
breakVec = c(0, 0.25, 0.5, 0.75, 1)
)
Xmat |
Matrix of gene expression, samples in columns, genes in rows |
Yvec |
Vector of phenotype, strings, 1, 2, etc |
geneSet |
A list of genes for classification |
subtype |
cluster name, string '1', as in Yvec |
ptail |
Binary phenotype vector. |
breakVec |
vector of break points, used to bin expression data |
List of Xbin and Ybin, the binned, subset, and binarized values.
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