Learning from biomedical linked data to suggest valid pharmacogenes

Learning from biomedical linked data to suggest valid pharmacogenes

Abstract Background A standard task in pharmacogenomics research is identifying genes that may be involved in drug response variability, i.e., pharmacogenes. Because genomic experiments tended to generate many false positives, computational approaches based on the use of background knowledge have be...

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Bibliographic Details
Main Authors: Kevin Dalleau, Yassine Marzougui, Sébastien Da Silva, Patrice Ringot, Ndeye Coumba Ndiaye, Adrien Coulet
Format: Article
Language:English
Published: BMC 2017-04-01
Series:Journal of Biomedical Semantics
Subjects:
Linked data
Pharmacogenomics
Data mining
Knowledge discovery from databases
Machine learning
Valid pharmacogenes
Online Access:http://link.springer.com/article/10.1186/s13326-017-0125-1

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http://link.springer.com/article/10.1186/s13326-017-0125-1

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