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Machine Learning Algorithms for Classification of MALDI-TOF..:
Flavia Dematheis
;
Mathias C. Walter
;
Daniel Lang
...
https://www.mdpi.com/2076-2607/10/8/1658. , 2022
Link:
https://doi.org/10.3390/microorganisms10081658
RT Journal T1
Machine Learning Algorithms for Classification of MALDI-TOF MS Spectra from Phylogenetically Closely Related Species Brucella melitensis , Brucella abortus and Brucella suis
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d555073bd8454f3697bb8c7b2ec9153c&Exemplar=1&LAN=DE A1 Flavia Dematheis A1 Mathias C. Walter A1 Daniel Lang A1 Markus Antwerpen A1 Holger C. Scholz A1 Marie-Theres Pfalzgraf A1 Enrico Mantel A1 Christin Hinz A1 Roman Wölfel A1 Sabine Zange PB MDPI AG YR 2022 K1 MALDI-TOF MS K1 Brucella melitensis K1 B. suis K1 B. abortus K1 machine learning K1 nested k -fold cross validation K1 Biology (General) K1 QH301-705.5 JF https://www.mdpi.com/2076-2607/10/8/1658 LK http://dx.doi.org/https://doi.org/10.3390/microorganisms10081658 DO https://doi.org/10.3390/microorganisms10081658 SF ELIB - SuUB Bremen
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