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dc.contributor.authorPhatak, Aloke
dc.contributor.authorKiiveri, H.
dc.contributor.authorClemmensen, L.
dc.contributor.authorWilson, W.
dc.date.accessioned2017-01-30T12:51:33Z
dc.date.available2017-01-30T12:51:33Z
dc.date.created2016-09-12T08:36:50Z
dc.date.issued2010
dc.identifier.citationPhatak, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/26062
dc.identifier.doi10.1093/bioinformatics/btq168
dc.description.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.

dc.publisherOxford University Press
dc.titleNetRaVE: Constructing dependency networks using sparse linear regression
dc.typeJournal Article
dcterms.source.volume26
dcterms.source.number12
dcterms.source.startPage1576
dcterms.source.endPage1577
dcterms.source.issn1367-4803
dcterms.source.titleBioinformatics
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access via publisher


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