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  • 标题:Tracking the Evolving Spatial-Temporal Gene Networks
  • 本地全文:下载
  • 作者:Weikang Gong ; Lin Wan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:28
  • 页码:1365-1368
  • DOI:10.1016/j.ifacol.2015.12.322
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe 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.
  • 关键词:Keywordsgene networkspatial-temporal datamodularizationmodule/graph matching
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