FIN.data: Functional Interaction Network data for human.

In bionetdata: Biological and Chemical Data Networks

Functional Interaction Network data for human.

Description

Functional Interaction data obtained from the supplemental materials of a paper written by Wu and colleagues: 'A human functional protein interaction network and its application to cancer data analysis'. Data are represented through a binary named matrix and represent the presence or absence of gene-gene functional interactions. The original network is composed by more than 9000 genes. The network contained in the bionetdata R package is a reduced version containing 2033 nodes and obtained using the walktrap.community function of the R package igraphi. The walktrap.community function is an implementation of a community detection method developed by Pons and Latapy based on a between vertices similarity measure computed by means of a random walk.

Usage

data(FIN.data)

Format

Binary named matrix. Entry FIN.data[i,j] = 1 if there is a functional interaction between gene i and j, otherwise FIN.data[i,j] = 0.

Source

Wu and colleagues original data are available as : http://genomebiology.com/content/supplementary/gb-2010-11-5-r53-s3.zip

References

Wu G., Feng X. and Stein L. A human functional protein interaction network and its application to cancer data analysis, Genome Biology 11:R53, 2010.

Pons P. and Latapy M. Computing communities in large networks using random walks, J. of Graph Alg. and App. bf, 10:284-293, 2004.

Examples

data(FIN.data);
FIN.data[1:10,1:10];

bionetdata documentation built on Sept. 12, 2022, 9:05 a.m.