NetRaVE: constructing dependency networks using sparse linear regression

A. Phatak; H. Kiiveri; Line Katrine Harder Clemmensen; W.J. Wilson

doi:10.1093/bioinformatics/btq168

NetRaVE: constructing dependency networks using sparse linear regression

A. Phatak, H. Kiiveri, Line Katrine Harder Clemmensen, W.J. Wilson

Research output: Contribution to journal › Journal article › Research › peer-review

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.

Original language	English
Journal	Bioinformatics
Volume	26
Issue number	12
Pages (from-to)	1576-1577
ISSN	1367-4803
DOIs	https://doi.org/10.1093/bioinformatics/btq168
Publication status	Published - 2010

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title = "NetRaVE: constructing dependency networks using sparse linear regression",

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.",

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JO - Bioinformatics

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NetRaVE: constructing dependency networks using sparse linear regression

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