Institute for Modeling and Simulation Applications at Clemson University; NSFNational Science Foundation (NSF) [0960586]
机构署名：
本校为其他机构
院系归属：
信息科学技术学院
摘要：
Identification of genes and pathways involved in diseases and physiological conditions is a major task in systems biology. In this study, we developed a novel non-parameter Ising model to integrate protein-protein interaction network and microarray data for identifying differentially expressed (DE) genes. We also proposed a simulated annealing algorithm to find the optimal configuration of the Ising model. The Ising model was applied to two breast cancer microarray data sets. The results showed that more cancer-related DE sub-networks and genes...
