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.
  
  
  BACKGROUND
  NetRaVE is freely available for academic use and has been tested in R 2.10.1 under Windows XP, Linux and Mac OS X.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: CSIRO Mathematical & Information Sciences, Private Bag 5, Wembley, WA, Australia.
authors.forename: A
authors.initials: A
authors.lastname: Phatak
authors.forename: H
authors.initials: H
authors.lastname: Kiiveri
authors.forename: L H
authors.initials: LH
authors.lastname: Clemmensen
authors.forename: W J
authors.initials: WJ
authors.lastname: Wilson
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods; D016014:Linear Models; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D014584:User-Computer Interface