Literature DB >> 20410054

NetRaVE: constructing dependency networks using sparse linear regression.

A Phatak1, H Kiiveri, L H Clemmensen, W J Wilson.   

Abstract

UNLABELLED: 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh:

Year:  2010        PMID: 20410054     DOI: 10.1093/bioinformatics/btq168

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  1 in total

1.  Multivariate analysis of microarray data: differential expression and differential connection.

Authors:  Harri T Kiiveri
Journal:  BMC Bioinformatics       Date:  2011-02-01       Impact factor: 3.169

  1 in total

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