Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
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Title
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
Authors
Keywords
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Journal
BIOINFORMATICS
Volume 32, Issue 12, Pages i101-i110
Publisher
Oxford University Press (OUP)
Online
2016-06-15
DOI
10.1093/bioinformatics/btw282
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- (2011) Andrea E. Cassidy-Bushrow et al. ATHEROSCLEROSIS
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