prepzscore1: Apply Z-score1 normalization.
In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data

Description Usage Arguments Value Warning Author(s) See Also

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.

1	prepzscore1(common.gene, geno.files, surv.data, x, y)

`common.gene`	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.

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.

This function is not called by the user directly.

Haleh Yasrebi

znorm

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