homogenizeData: Take two expression matrices and return homogenized versions...

In xlucpu/MOVICS: Multi-Omics integration and VIsualization in Cancer Subtyping

Description

This function accepts two expression matrices, with gene ids as rownames() and sample ids as colnames(). It will deal with duplicate gene ids. subset and order the matrices correctly. and perform homogenize the data using whatever method is specified (by default Combat from the sva library).

Usage

homogenizeData(
  testExprMat,
  trainExprMat,
  batchCorrect = "eb",
  selection = -1,
  printOutput = TRUE
)

Arguments

testExprMat	Gene expression matrix for samples on which we wish to predict a phenotype. Gene names as rows, samples names as columns.
trainExprMat	Gene expression matrix for samples for which we the phenotype is already known.
batchCorrect	The type of batch correction to be used. Options are "eb" for Combat, "none", or "qn" for quantile normalization.
selection	parameter can be used to specify how duplicates are handled, by default value -1 means ask the user. 1 means summarize duplictes by their mean and 2 means to disguard all duplicate genes.
printOutput	Set to FALSE to supress output

Value

a list containing two entries $train and $test, which are the homogenized input matrices.

Author(s)

Paul Geeleher, Nancy Cox, R. Stephanie Huang

xlucpu/MOVICS documentation built on July 24, 2021, 9:23 p.m.