Apply Z-score1 normalization before combining the data sets together. Each data sets is Z-score normalized separately and then, the data sets composing the training sets are combined together. The testing set is Z-score normalized independently and separately from the training set.
A vector of character strings containing the name of the genes common to the data sets composing the training set.
geno.files
A vector of character strings containing the names of expression files.
surv.data
The list of two vectors, survival time and censoring status. In the censoring status vector, 1 = event occurred, 0 = censored.
x
A vector of indices of the names of the expression files composing the training set.
y
Index of the name of expression file used as the testing set.
Value
A list of two objects, (i) the matrix of combined normalized gene expression data and (ii) a list of two vectors, the combined survival times and censoring status.