Tracking the Evolving Spatial-Temporal Gene Networks. Issue 28 (2015)

• Record Type: Journal Article
• Authors: Gong, Weikang; Wan, Lin
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 28(2015)
• Page Start: 1365
• Page End: 1368
• Publication Date: 2015
• Subjects: gene network -- spatial-temporal data -- modularization -- module/graph matching; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.12.322
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The modeling and identification of the spatial-temporal gene networks in transcriptome scale is a challenging problem. To investigate the molecular mechanism of genes in a dynamic and systematic fashion, we develop a novel method for tracking the spatial-temporal modules of gene network reconstructed from the brain development gene expression data. A statistical model based method for module/graph mathch is proposed to track the evolving gene networks. We apply this method to brain spatial-temporal networks and provides new insights into the molecular mechanisms of brain development as well as the functions of the the schizophrenia associated genes.