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.",

author = "A. Phatak and H. Kiiveri and Clemmensen, \{Line Katrine Harder\} and W.J. Wilson",

year = "2010",

doi = "10.1093/bioinformatics/btq168",

language = "English",

volume = "26",

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journal = "Bioinformatics",

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T1 - NetRaVE: constructing dependency networks using sparse linear regression

AU - Phatak, A.

AU - Kiiveri, H.

AU - Clemmensen, Line Katrine Harder

AU - Wilson, W.J.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

U2 - 10.1093/bioinformatics/btq168

DO - 10.1093/bioinformatics/btq168

M3 - Journal article

C2 - 20410054

SN - 1367-4803

VL - 26

SP - 1576

EP - 1577

JO - Bioinformatics

JF - Bioinformatics

IS - 12

ER -

NetRaVE: constructing dependency networks using sparse linear regression

Abstract

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