eval.merge.simulate:
Performance evaluation by merging two simulated independent data sets
Description
Simulate two data sets, merge them and evaluate the performance of the gene signature derived from the merged data set in 10 iterations of 10-fold cross-validation. The data sets are combined into one set, split into the training and testing sets which are then normalized by Z-score normalization.
Usage
eval.merge.simulate(d1, d2, tot.genes, gene.nb, zscore)
Arguments
d1
Matrix of gene expression data of the first simulated data sets.
d2
Matrix of gene expression data of the second simulated data set.
tot.genes
Number of total genes.
gene.nb
Number of true survival genes to identify.
zscore
An integer (1 or 0) specifying whether to apply Z-score normalization or not.
Warning
This function is not called by the user directly.