samplePatientMutationMatrix


A binary matrix representing gene mutations in patients.


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

samplePatientMutationMatrix function

A two-dimensional binary matrix. The row names are patients, and collumn names are genes. If gene j is mutated in patient i, samplePatientMutationMatrix[i, j]=1.

Format

A binary matrix representing gene mutations in patients.

samplePatientMutationMatrix: Sample patient mutation matrix

Description

Usage

Arguments

Format

Examples