Learn R Programming

survJamda (version 1.1.4)

det.set.meta: Split data for meta analysis.

Description

Split data into the training and testing sets for meta analysis.

Usage

det.set.meta(i, j, geno.files, surv.data, method)

Arguments

i
A vector of character strings consisting of the names of the expression files used for the training set.
j
A character string specifying the name of the expression file used for the testing set.
geno.files
A vector of character strings consisting of the names of the expression files.
surv.data
A list of two vectors, survival time and censoring status. In the censoring status vector, 1 = event occurred, 0 = censored.
method
A character string specifying the feature selection method: "none" for top-100 ranking or one of the adjusting methods specified by the p.adjust function

Value

None.

Details

In top-ranking, genes are selected based on univariate Cox P-value ranking using the coxph function in the R survival package. In this feature selection method, the genes are ranked based on their likelihood ratio P-value and the top-100 ranked genes with the smallest P-values are retained as the gene signature.

The p.adjust function in the R stats package is used and all adjusted p-values not greater than 0.05 are retained if method != "none".