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

1
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.

Value

None.

Warning

This function is not called by the user directly.

Author(s)

Haleh Yasrebi

See Also

proc.simulate

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