NetRaVE: Constructing dependency networks using sparse linear regression

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 visuali...

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Main Authors: Phatak, Aloke, Kiiveri, H., Clemmensen, L., Wilson, W.
Format: Journal Article
Published: Oxford University Press 2010
Online Access:http://hdl.handle.net/20.500.11937/26062
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author Phatak, Aloke
Kiiveri, H.
Clemmensen, L.
Wilson, W.
author_facet Phatak, Aloke
Kiiveri, H.
Clemmensen, L.
Wilson, W.
author_sort Phatak, Aloke
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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publishDate 2010
publisher Oxford University Press
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spelling curtin-20.500.11937-260622017-09-13T15:23:29Z NetRaVE: Constructing dependency networks using sparse linear regression Phatak, Aloke Kiiveri, H. Clemmensen, L. Wilson, W. 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. 2010 Journal Article http://hdl.handle.net/20.500.11937/26062 10.1093/bioinformatics/btq168 Oxford University Press unknown
spellingShingle Phatak, Aloke
Kiiveri, H.
Clemmensen, L.
Wilson, W.
NetRaVE: Constructing dependency networks using sparse linear regression
title NetRaVE: Constructing dependency networks using sparse linear regression
title_full NetRaVE: Constructing dependency networks using sparse linear regression
title_fullStr NetRaVE: Constructing dependency networks using sparse linear regression
title_full_unstemmed NetRaVE: Constructing dependency networks using sparse linear regression
title_short NetRaVE: Constructing dependency networks using sparse linear regression
title_sort netrave: constructing dependency networks using sparse linear regression
url http://hdl.handle.net/20.500.11937/26062