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dc.contributor.authorYang, Yang
dc.contributor.authorWalker, Timothy M
dc.contributor.authorWalker, A Sarah
dc.contributor.authorWilson, Daniel J
dc.contributor.authorPeto, Timothy E A
dc.contributor.authorCrook, Derrick W
dc.contributor.authorShamout, Farah
dc.contributor.authorZhu, Tingting
dc.contributor.authorClifton, David A
dc.date.accessioned2020-05-24T19:40:25Z
dc.date.available2020-05-24T19:40:25Z
dc.date.issued2019-09-15
dc.identifier.issn1367-4811
dc.identifier.pmid30689732
dc.identifier.doi10.1093/bioinformatics/btz067
dc.identifier.urihttp://hdl.handle.net/10029/623773
dc.language.isoenen_US
dc.titleDeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis.en_US
dc.typeArticleen_US
dc.identifier.journalBioinformatics 2019; 35(18):3240-9en_US
dc.source.journaltitleBioinformatics (Oxford, England)


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