prepzscore2: Apply Z-score2 normalization.

In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data

Description

Apply Z-score2 normalization. First, combine the data sets composing the training set and then, apply Z-score normalization to the merged data set.

Usage

prepzscore2(common.gene, geno.files, surv.data, x, y)

Arguments

common.gene	Vector of character strings containing the names of the genes common to the all data sets.
geno.files	A vector of character strings containing the names of gene expression files.
surv.data	The list of two vectors, survival time and censoring status related to the training set. In the censoring status vector, 1 = event occurred, 0 = censored.
x	A vector of indices of the names of data files composing the training set.
y	Index of the name of data file used as the testing set.

Value

A list of two objects related to the training set, (i) the matrix of Z-score normalized merged gene expression data and (ii) a list of two vectors, the combined survival time and censoring status.

Warning

This function is not called by the user directly.

Author(s)

Haleh Yasrebi

survJamda documentation built on May 1, 2019, 8:50 p.m.