| 个人简介 | |
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 郑杰 新加坡南洋理工大学，计算机科学与工程学院，助理教授 领域：生物信息学， 计算与系统生物学，数据科学，机器学习与数据挖掘算法 |
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| 标题： Hybrid Modeling Integrating Data-Driven and Knowledge-Driven Models with Applications in Systems Biomedicine | |
| 摘要：
Hybrid modeling, which integrates data with dynamical models, is an emerging methodology in Bioinformatics and Computational Biology. Data-drivenmodeling, by capturing the statistical relations among variables in the data, is flexible and able to encompass a complex systems, even though the underlying mechanisms are still unclear; however, it tends to rely on the data, and with the black-box model the underlying mechanisms are often difficult to interpret. By contrast, knowledge-driven modeling, based on prior knowledge of underlying processes of a system, may encode known mechanisms into a white-box model (e.g. differential equations); however, the available knowledge tend to be limited for comprehensive and precise modeling, and such deduction-based models can rarely extract new knowledge from real data automatically. Hybrid modeling, by combining the advantages of the two types of modeling methods, is a method of choice for many problems in systems biomedicine, which is a data-rich field with complex mechanisms to be uncovered.In this talk, I will first introduce the state-of-the-art techniques of hybrid modeling that have been applied to systems biomedicine. Then, I will describe a few case studies of applying hybrid modeling in cancer medicine, including the prediction of cancer cell fates and drug effects using models of signalling networks, and the prediction of synthetic lethality as cancer drug targets, etc. After that, I will briefly introduce our recent work on single-cell gene expression data analysis using artificial neural network, a promising strategy for hybrid modeling.
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| 简介：
Dr. Jie Zheng is a tenure-track assistant professor of School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, and an adjunct senior research scientist with Genome Institute of Singapore (GIS). He received Ph.D. in 2006 from the University of California, Riverside and his B. Eng (honors) in 2000 from Zhejiang University in China, both in Computer Science. Before joining NTU in 2011, he was a research scientist at the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), USA. His research interests are Bioinformatics, Computational Systems Biology and Genomics, aiming to develop novel algorithms and in silico models to help answer Biomedical questions (e.g. how are cell fates decided in cancer and stem cells). He has published in top-tier journals such as Genome Biology, Molecular Biology & Evolution, Nucleic Acids Research, Bioinformatics, PLoS Computational Biology, etc. While trained as a Computer Scientist, Dr. Zheng maintains active and long-standing collaborations with Life Scientists.
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