Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis

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dc.article.end-page12en
dc.article.start-page1en
dc.citation.doi10.1038/S41467-025-57174-1en
dc.contributor.authorR Kulkarnien
dc.contributor.authorS Laurenten
dc.contributor.authorP Miottoen
dc.contributor.authorT Walkeren
dc.contributor.authorNazir Ismailen
dc.contributor.authorE et alen
dc.date.accessioned2025-09-22T08:07:47Z
dc.facultyFACULTY OF HEALTH SCIENCESen
dc.identifier.citationWOSen
dc.identifier.urihttps://hdl.handle.net/10539/46551
dc.journal.titleMultivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosisen
dc.journal.volume2149en
dc.titleMultivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosisen
dc.typeJournal Articleen

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