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9783319412788

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“This edited volume is intended to showcase the current research on big data analytics for genomics … . The edited volume is well-organized, structured, and topics appeared sequentially. Most of the chapters are self-contained. … this is a good collection of work in one place; I think this volume will attract a broader audience. I enjoyed reading a few chapters of the book and found them interesting and useful.” (Technometrics, Vol. 59 (2), April, 2017)

This edited volume is intended to showcase the current research on big data analytics for genomics ... . The edited volume is well-organized, structured, and topics appeared sequentially. Most of the chapters are self-contained. ... this is a good collection of work in one place; I think this volume will attract a broader audience. I enjoyed reading a few chapters of the book and found them interesting and useful. (Technometrics, Vol. 59 (2), April, 2017)

Author Information

Ka-Chun Wong is Assistant Professor in the Department of Computer Science at City University of Hong Kong. He received his B.Eng. in Computer Engineering in 2008 and his M.Phil. degree in the Department of Computer Science and Engineering in 2010, both from United College, the Chinese University of Hong Kong. He finished his PhD at the Department of Computer Science at University of Toronto . His research interests include computational biology, bioinformatics, evolutionary computation, big data analytics, application machine learning, and interdisciplinary research.

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