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, Xiao-Li, Mei, Jian-Ping, Kwoh, Chee-Keong, Ng, See-Kiong
Format: Online
Language:English
Published: Oxford University Press 2012
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3467748/