Machine Learning for Systems Biology of Human Diseases
Xue-wen Chen, Wayne State University
While much of molecular biology research has led to a wealth of knowledge about individual cellular components and their functions, it has become increasingly clear that most cellular functions are carried out by complex networks of interconnected components, and that the characterization of isolated cellular components is not sufficient to understand the cell's complexity. In recent years, the development of high-throughput technologies has provided the scientific community with exciting new opportunities for systematically studying biological networks on a whole-genome scale and machine learning is playing a significant role in biological knowledge discovery. In this talk, I will highlight some examples of machine learning-based approaches for biological network reconstruction and how systems biology provides a framework for impacting medicine and healthcare research, particularly for understanding human diseases with a network view of the factors that cause diseases. I will also discuss the challenges and opportunities for machine learning community.
Xue-wen Chen is currently Professor and Chair in the Department of Computer Science at Wayne State University. He is the chair of IEEE Computer Society Technical Committee on Computational Life Sciences. He is the co-founder and steering committee chair of the IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology, and a member in the IEEE Computer Society Bioinformatics and Biomedicine Steering Committee. He is the editor-in-chief of the International Journal of Computational Intelligence on Bioinformatics and Systems Biology. He also serves in the editorial board in several international journals. He is a conference committee chair in the IEEE Life Science Initiative. Dr. Chen received his PhD degree from Carnegie Mellon University, Pittsburgh, USA in 2001. He was a recipient of the NSF CAREER Award. He served as conference chair for ACM Conference on Information and Knowledge Management (CIKM) 2012, the IEEE international Conference on Healthcare Informatics, Imaging, and Systems Biology (HISB), 2011, the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) in 2009 and the International Conference in Machine Learning and Applications (ICMLA) in 2011 and 2008. He also served as a program committee member in numerous conferences such as KDD, CIKM, BIBM, ICDM, and CEC. His research interest includes machine learning, data mining, bioinformatics, systems biology, and healthcare informatics.