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Keynote Speakers



Prof. Limsoon Wong (ACM Fellow)

National University of Singapore

Limsoon Wong is Kwan Im Thong Hood Cho Temple Professor in Computing and Professor (by courtesy) in Medicine at the National University of Singapore. He is currently most interested in data analysis problems in biology and medicine that involve high-resolution omics experiments, especially those that are plagued by heavy batch effects and/or dominated by confounding noises. He is an ACM Fellow, inducted in 2013 for his contributions to database theory and computational biology. His technical contributions to these distinct fields have been recognized by several awards, e.g., the 2003 FEER Asian Innovation Gold Award for his work on treatment optimization of childhood leukemias, and the ICDT 2014 Test of Time Award for his work on naturally embedded query languages. Limsoon co-founded Molecular Connections (Molcon) in Bangalore to offer efficient high-quality information curation services; Molcon has grown organically about 400x over two decades and has been consistently recognized in the recent years as a “100 best companies in India for women to work”.

Speech Title: "Illuminating the Twilight Zone of Protein Function Prediction"

Abstract: Generally, if two proteins are quite similar in their amino acid sequence, they would have a common ancestor and would have inherited their function from that ancestor. Thus, if one knows the function of one of these two proteins, one can infer the function of the other protein. However, at sequence similarity below 30% (aka the twilight zone), this way of inferring protein function is accompanied by an explosion of false positives. Several deep learning methods have been proposed as solutions. Do these approaches work? In the first part of this talk, we discuss some nuances in classifier performance evaluation that are often overlooked and show that such classifiers, if deployed, would result in disappointments. In the second part of this talk, we introduce a novel approach, EnsembleFam, which can perform reliable protein family assignment even in the twilight zone. EnsembleFam is unusual among protein function prediction approaches in that it uses the concept of "guilt by association of the similarity of dissimilarities" to exploit information that is normally discarded or ignored (by other methods).



Previous Speakers


Prof. Yuan-Ting Zhang

City University of Hong Kong

Prof. Alexander Suvoror
Institute of Experimental Medicine, St. Petersburg
Prof. David Zhang
The Chinese University of Hong Kong (Shenzhen)
Prof.Tun-Wen Pai
National Taipei University of Technology
Prof. Dong-Qing Wei

Shanghai Jiaotong University

Prof. TSUI Kwok-Wing Stephen
The Chinese University of Hong Kong

Prof. Cathy Wu
University of Delaware

Prof. Xuegong Zhang
Tsinghua University

Prof. Yi Pan
Chinese Academy of Sciences

Prof. Bairong Shen
Sichuan University
Prof. Wing-Kin Sung
The Chinese University of Hong Kong and Hong Kong Genome Institute
Prof. Chanchal Mitra
University of Hyderabad
Assoc. Prof. Jie Zheng
ShanghaiTech University
Prof. Peiyu Zhang
Henan University
Prof. Zheng Zhou
Chinese Academy of Sciences
Prof. Le Zhang
Sichuan University
Prof. Fei Guo
Central South University
Prof. Bin Liu
Beijing Institute of Technology

Mr. Xiaoqiang Li
China National GeneBank DataBase

Prof. Guan Ning Lin
Shanghai Jiao Tong University
Assoc. Prof. Hon-Cheong So
The Chinese University of Hong Kong, Hong Kong