NetRaVE: Constructing dependency networks using sparse linear regression

Phatak, Aloke; Kiiveri, H.; Clemmensen, L.; Wilson, W.

doi:10.1093/bioinformatics/btq168

Access Status

Open access via publisher

Authors

Phatak, Aloke

Kiiveri, H.

Clemmensen, L.

Wilson, W.

Date

2010

Type

Journal Article

Metadata

Show full item record

Citation

Phatak, A. and Kiiveri, H. and Clemmensen, L. and Wilson, W. 2010. NetRaVE: Constructing dependency networks using sparse linear regression. Bioinformatics. 26 (12): pp. 1576-1577.

Source Title

Bioinformatics

DOI

10.1093/bioinformatics/btq168

ISSN

1367-4803

School

Department of Mathematics and Statistics

URI

http://hdl.handle.net/20.500.11937/26062

Collection

Curtin Research Publications

Abstract

Summary: 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. Contact: harri.kiiveri@csiro.au. Supplementary information: Supplementary data are available at Bioinformatics online. © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org.