rw {RLassoCox}R Documentation

Directed Random Walk

Description

The directed random walk algorithm proposed by Liu et al (2013).

Usage

rw(W, p0, gamma)

Arguments

W

The adjacency matrix of the gene interaction network.

p0

A vector containing the initial weights of genes in the gene interaction network.

gamma

A numeric value. The restart probability in directed random walk.

Details

This function implements the directed random walk algorithm proposed by Liu et al (2013). It evaluates the topological weight of each gene according to its topological importance in the gene interaction network. The genes that close to many other genes that have large weights will receive larger weights. The final weights reflect the topological importances of genes in the gene interaction network.

Value

A matrix containing the topological weights of nodes in igraphM.

Author(s)

Wei Liu <freelw@qq.com>

References

Liu, W., et al., Topologically inferring risk-active pathways toward precise cancer classification by directed random walk. Bioinformatics, 2013. 29(17): p. 2169-77.


[Package RLassoCox version 1.0.0 Index]