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    Multi-Omics Integration for Cancer Related Pattern Discovery

    发布日期: 2020-09-26  作者:    浏览次数: 10 


    学术报告

    报告题目:

    Multi-Omics Integration for Cancer Related Pattern Discovery


    报 告 人:


    西安电子科技大学  高琳 教授

    报告时间👨🏼:

    2020926日(星期六) 下午2:00-3:00


    报告地点:


    上海顺盈平台娱乐(徐汇校区)3号楼三楼报告厅(332室)


    报告摘要:


    The mechanism, diagnosis and prognosis of cancer is one of the core researches problem in life science and related multidisciplinary domain. The challenge is that the progression process of a cancer is a highly dimensional, time varying, and dynamic system. How do we discover cancer-causing patterns, cancer subtyping and finally associate these patterns with cancer initiation, progression and therapy. With increasing amounts of multi-omics/single-cell multi-omics data becoming available, we can construct the computational model of those kinds of data by different kinds of model. The system biology and complex network provide new insight for cancer. In this talk, I will investigate network models for different patterns for cancer with multi-omics data integration. The key methodological challenges face in computational disease modeling.



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