samplePatientOutlierMatrix


A binary matrix representing gene expressions 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

samplePatientOutlierMatrix function

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

Format

A binary matrix representing gene expressions in patients.

samplePatientOutlierMatrix: Sample patient outlier matrix

Description

Usage

Arguments

Format

Examples