Predicting drug–target interaction using positive-unlabeled learning

标题
Predicting drug–target interaction using positive-unlabeled learning
作者
关键词
Drug–target interaction, Sequence similarity, Structure similarity, Random walk, Positive-unlabeled learning
出版物
NEUROCOMPUTING
Volume 206, Issue -, Pages 50-57
出版商
Elsevier BV
发表日期
2016-06-01
DOI
10.1016/j.neucom.2016.03.080

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started