Positive-unlabeled learning for disease gene identification

Background: Identifying disease genes from human genome is an important but challenging task in biomedical research. Machine learning methods can be applied to discover new disease genes based on the known ones. Existing machine learning methods typically use the known disease genes as the positive...

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Bibliographic Details
Main Authors: Yang, Peng, Li, Xiaoli, Mei, Jian-Ping, Kwoh, Chee Keong, Ng, See-Kiong
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/96132
http://hdl.handle.net/10220/10776
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Institution: Nanyang Technological University
Language: English