Integrating External Biological Knowledge in the Construction of Regulatory Networks From Time-Series Expression Data
Inference about regulatory networks from high-throughput genomics data is of great interest in systems biology. We present a Bayesian approach to infer gene regulatory networks from time series expression data by integrating various types of biological knowledge.
BMC Systems Biology
Lo, Kenneth; Raftery, Adrian E.; Dombek, Kenneth M.; Zhu, Jun; Yeung, Ka Yee; Schadt, Eric E.; and Bumgarner, Roger E., "Integrating External Biological Knowledge in the Construction of Regulatory Networks From Time-Series Expression Data" (2012). School of Engineering and Technology Publications. 292.