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NetRaVE: Constructing dependency networks using sparse linear regression

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2010
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Journal Article

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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.

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.
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Bioinformatics
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Department of Mathematics and Statistics
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