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dc.date.accessioned2024-08-23T14:26:56Z
dc.date.available2024-08-23T14:26:56Z
dc.date.issued2024-08-05
dc.identifier.pmid39102420
dc.identifier.doi10.1371/journal.pcbi.1012260
dc.identifier.urihttp://hdl.handle.net/10029/627798
dc.language.isoenen_US
dc.rightsCopyright: © 2024 The CRyPTIC consortium. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.titleQuantitative drug susceptibility testing for Mycobacterium tuberculosis using unassembled sequencing data and machine learningen_US
dc.typeArticleen_US
dc.identifier.eissn1553-7358
dc.identifier.journalPlos Comput Biol 2024; 20(8):e1012260en_US
dc.source.journaltitlePLoS computational biology
dc.source.volume20
dc.source.issue8
dc.source.beginpagee1012260
dc.source.endpage
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited Kingdom
dc.source.countryUnited States
dc.source.countryUnited States


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