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个人简介
My main research is focused on the study of probabilistic models for intelligent systems, in particular, the study of Bayesian networks and their applications in Bioinformatics and in other domains. I have focused my attention on several aspects of Bayesian networks, including, (1) Foundation - which independence assumptions are encoded in a Bayesian network, (2) Exact Inference - how to efficiently answer queries using a Bayesian network, (3) Learning - how to learn Bayesian networks from data, and (4) Applications - building effective intelligent systems based on Bayesian networks. Currently, I am mostly interested in using probabilistic models effectively for mapping disease genes and for other Bioinformatics tasks. I am interested in building state of the art software packages that help geneticists map genes for complex diseases either by linkage studies, association studies, or other methods. The experience with graphical models has lead me to construct with my students an efficient program for linkage analysis called Superlink to which I devote a sizeable portion of my time.
研究兴趣
论文共 157 篇作者统计合作学者相似作者
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A. Kurolap, O. Eshach-Adiv,T. Hershkovitz,T. Paperna,A. Mory, D. Oz-Levi,Y. Zohar,H. Mandel,J. Chezar, D. Azoulay, S. Peleg,E. E. Half,
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Journal of medical geneticsno. 7 (2019): 481-490
Adel Shalata, Mohammad Mahroom,Dianna M. Milewicz,Gong Limin, Fadi Kassum, Khader Badarna,Nader Tarabeih, Nimmer Assy, Rona Fell,Hector Cohen, Munir Nashashibi, Alejandro Livoff,
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