NetRaVE: constructing dependency networks using sparse linear regression

A Phatak; H Kiiveri; L H Clemmensen; W J Wilson

doi:10.1093/bioinformatics/btq168

NetRaVE: constructing dependency networks using sparse linear regression

Bioinformatics. 2010 Jun 15;26(12):1576-7. doi: 10.1093/bioinformatics/btq168. Epub 2010 Apr 21.

Authors

A Phatak¹, H Kiiveri, L H Clemmensen, W J Wilson

Affiliation

¹ CSIRO Mathematical & Information Sciences, Private Bag 5, Wembley, WA, Australia.

PMID: 20410054
DOI: 10.1093/bioinformatics/btq168

Abstract

NetRaVE is a small suite of R functions for generating dependency networks using sparse regression methods. Such networks provide an alternative to interpreting 'top n lists' of genes arising out of an analysis of microarray data, and they provide a means of organizing and visualizing the resulting information in a manner that may suggest relationships between genes.

Availability: NetRaVE is freely available for academic use and has been tested in R 2.10.1 under Windows XP, Linux and Mac OS X.

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

Algorithms
Gene Expression Profiling / methods
Linear Models
Oligonucleotide Array Sequence Analysis / methods*
Software*
User-Computer Interface