sepScores: A list of separate gene-to-phenotype association scores,...

In marchionniLab/RTopper: This package is designed to perform Gene Set Analysis across multiple genomic platforms

A list of separate gene-to-phenotype association scores, obtained indipendently for each distinct data set to be used to run the examples in the RTopper package

Description

A list containing distinct named numeric vectors corresponding to the gene-to-phenotype association scores resulting from the sepatate analysis of each data set. These separate gene-to-phenotype scores are compurted by computeDrStat function. Can be used as input to runBatchGSE.

Usage

 data(sepScores) 

Format

This object is a list of length four, one element for data set:

"dat.affy": a numeric vector of length 500, corresponding to the sepatate phenotype association scores computed for Affymetrix gene expression data;

"dat.agilent": a numeric vector of length 500, corresponding to the separate phenotype association scores computed for Agilent gene expression data;

"dat.cnvHarvard": a numeric vector of length 500, corresponding to the separate phenotype association scores computed for Harvard CNV data;

"dat.cnvMskcc": a numeric vector of length 500, corresponding to the separate phenotype association scores computed for the MSKCC CNV data;

Source

Computed using the computeDrStat function from the TCGA data contained in data.

Examples

data(sepScores)
class(sepScores)
names(sepScores)
str(sepScores)

marchionniLab/RTopper documentation built on Oct. 29, 2022, 8:14 a.m.