Screening drug-target interactions with positive-unlabeled learning

Screening drug-target interactions with positive-unlabeled learning

Abstract Identifying drug-target interaction (DTI) candidates is crucial for drug repositioning. However, usually only positive DTIs are deposited in known databases, which challenges computational methods to predict novel DTIs due to the lack of negative samples. To overcome this dilemma, researche...

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Autores principales: Lihong Peng, Wen Zhu, Bo Liao, Yu Duan, Min Chen, Yi Chen, Jialiang Yang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/656e1bfed72c43d39dedc4ea57292f76
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