Publication:

MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning

Date

2024
Journal article
https://doi.org/10.3389/fmicb.2024.1361795
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0002-7544-8411
cris.virtualsource.departmentb9ef8f95-3a50-488d-a20f-e0478e721aa0
cris.virtualsource.orcidb9ef8f95-3a50-488d-a20f-e0478e721aa0
dc.contributor.authorLopez-Cortes, Xaviera A.
dc.contributor.authorManriquez-Troncoso, Jose M.
dc.contributor.authorHernandez-Garcia, Ruber
dc.contributor.authorPeralta, Daniel
dc.contributor.imecauthorPeralta, Daniel
dc.contributor.orcidimecPeralta, Daniel::0000-0002-7544-8411
dc.date.accessioned2024-05-13T09:32:49Z
dc.date.available2024-05-11T18:25:18Z
dc.date.available2024-05-13T09:32:49Z
dc.date.issued2024
dc.description.wosFundingTextRH-G thanks to the Research Project ANID FONDECYT Iniciacion en Investigacion 2022 No. 11220693.
dc.identifier.doi10.3389/fmicb.2024.1361795
dc.identifier.issn1664-302X
dc.identifier.pmidMEDLINE:38694798
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43924
dc.publisherFRONTIERS MEDIA SA
dc.source.beginpage1361795
dc.source.endpage15
dc.source.issue/
dc.source.journalFRONTIERS IN MICROBIOLOGY
dc.source.numberofpages15
dc.source.volume15
dc.subject.keywordsDESORPTION IONIZATION-TIME
dc.subject.keywordsTOF MASS-SPECTROMETRY
dc.subject.keywordsSTAPHYLOCOCCUS-AUREUS
dc.subject.keywordsCLINICAL MICROBIOLOGY
dc.subject.keywordsRAPID DETECTION
dc.subject.keywordsIDENTIFICATION
dc.subject.keywordsENTEROBACTERIACEAE
dc.subject.keywordsBACTERIA
dc.subject.keywordsSPECTRA
dc.title

MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning

dc.typeJournal article
dspace.entity.typePublication
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