MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets
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Title
MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets
Authors
Keywords
-
Journal
Scientific Reports
Volume 5, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-01-23
DOI
10.1038/srep08004
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- (2011) T. Vergoulis et al. NUCLEIC ACIDS RESEARCH
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