sampleRandomDriversResult


A sample result from running <code>computeRandomizedResult</code> with numberOfRandomTests = 20.


datasets

DriverNet is a package to predict functional important
driver genes in cancer by integrating genome data (mutation and
copy number variation data) and transcriptome data (gene
expression data). The different kinds of data are combined by
an influence graph, which is a gene-gene interaction network
deduced from pathway data. A greedy algorithm is used to find
the possible driver genes, which may mutated in a larger number
of patients and these mutations will push the gene expression
values of the connected genes to some extreme values.

Jiarui Ding

DriverNet

Drivernet: uncovering somatic driver mutations modulating
transcriptional networks in cancer

sampleRandomDriversResult function

A list of predicted drivers from different runs.

Format

A sample result from running <code>computeRandomizedResult</code> with numberOfRandomTests = 20.

sampleRandomDriversResult: Sample Result from computeRandomizedResult

Description

Usage

Arguments

Format

See Also

Examples