Inferring Genetic Networks from Microarray Data

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.

• Type: Conference
• Year: 2004
• Where: CSB
• Authors: Shawn Martin, George Davidson, Elebeoba E. May, Jean-Loup Faulon, Margaret Werner-Washburne
• Keywords: Bioinformatics, CSB 2004, Realistic Genetic Networks, Series Microarray Data, Time Series Microarray