NetRaVE: constructing dependency networks using sparse linear regression.
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.
Phatak
A
A
CSIRO Mathematical & Information Sciences, Private Bag 5, Wembley, WA, Australia.
Kiiveri
H
H
Clemmensen
L H
LH
Wilson
W J
WJ
D000465:Algorithms; D020869:Gene Expression Profiling / Q000379:methods; D016014:Linear Models; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D014584:User-Computer Interface