INDI: a computational framework for inferring drug interactions and their associated recommendations
Published 2012 View Full Article
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Title
INDI: a computational framework for inferring drug interactions and their associated recommendations
Authors
Keywords
-
Journal
Molecular Systems Biology
Volume 8, Issue -, Pages -
Publisher
Wiley
Online
2012-07-17
DOI
10.1038/msb.2012.26
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- (2011) Liat Perlman et al. JOURNAL OF COMPUTATIONAL BIOLOGY
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