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
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