loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2004 IEEE Computational Systems Bioinformatics Conference (CSB'04)
Inferring Genetic Networks from Microarray Data
Stanford, California
August 16-August 19
ISBN: 0-7695-2194-0
Shawn Martin, Sandia National Laboratories
George Davidson, Sandia National Laboratories
Elebeoba May, Sandia National Laboratories
Jean-Loup Faulon, Sandia National Laboratories
Margaret Werner-Washburne, University of New Mexico
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three major challenges are 1) inferring the network; 2) estimating the stability of the inferred network; and 3) making the network visually accessible to the user. Here we describe a method, tested on publicly available time series microarray data, which addresses these concerns.
Citation:
Shawn Martin, George Davidson, Elebeoba May, Jean-Loup Faulon, Margaret Werner-Washburne, "Inferring Genetic Networks from Microarray Data," csb, pp.566-569, 2004 IEEE Computational Systems Bioinformatics Conference (CSB'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.