がん研セミナー（8月24日）のお知らせ

演題：Integrative Network Modeling of Large Scale Multi-Omics Data Reveals Novel Molecular Networks and Key Regulators in Cancer and Other Complex Diseases

演者：Bin Zhang, Ph.D. (Professor Department of Genetics and Genomic Sciences Icahn Institute of Genomics and Multiscale Biology Tisch Cancer Institute Icahn School of Medicine at Mount Sinai, New York)

抄録：Network biology has been increasingly utilized to model large-scale Omics data for its great potential to identify novel key variables and interacting pathways underlying a biological function, system or state under examination. Often a single type of molecular networks (gene coexpression network, gene causal network, protein interaction network) is used for a particular Omics study. For complex biological systems or diseases, any single type of networks may be insufficient to fully characterize the underlying signaling pathways. Multiscale network modeling emerges as a more powerful framework to dissect complex molecular interactions and regulations for identification of novel pathways and key regulators that are essential to maintain biological functions, initiate disease process or drive disease progression. In this talk, I will introduce our latest progresses on constructing and analyzing multiscale molecular networks including weighted interaction network analysis (WINA), multiscale embedded gene coexpression network analysis (MEGENA) and differential gene correlation analysis (DGCA), and highlight their applications to breast cancer, gastric cancer and Alzheimer’s disease.

日時：２０１８年 ８月 ２４日（金） １８：００〜１９：００

場所：吉田記念講堂

連絡先：野田哲生（内線５２３１）

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