Inferring Genetic Networks from Microarray Data

Authors:
Shawn Martin;George Davidson;Elebeoba May;Jean-Loup Faulon;Margaret Werner-Washburne
Affiliations:
Sandia National Laboratories;Sandia National Laboratories;Sandia National Laboratories;Sandia National Laboratories;University of New Mexico
Venue:
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Year:
2004

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Abstract

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.