Benchmarking network propagation methods for disease gene identification
Published 2019 View Full Article
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Title
Benchmarking network propagation methods for disease gene identification
Authors
Keywords
Drug discovery, Genetic networks, Genetics of disease, Machine learning, Machine learning algorithms, Algorithms, Gene prediction, Support vector machines
Journal
PLoS Computational Biology
Volume 15, Issue 9, Pages e1007276
Publisher
Public Library of Science (PLoS)
Online
2019-09-04
DOI
10.1371/journal.pcbi.1007276
References
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- (2016) Andrew Chatr-aryamontri et al. NUCLEIC ACIDS RESEARCH
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