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minMLST: machine learning for optimization of bacterial strain typing.
Cohen, Shani; Rokach, Lior; Motro, Yair; Moran-Gilad, Jacob; Veksler-Lublinsky, Isana.
Affiliation
  • Cohen S; Department of Software and Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
  • Rokach L; Department of Software and Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
  • Motro Y; Department of Health Systems Management, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
  • Moran-Gilad J; Department of Health Systems Management, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
  • Veksler-Lublinsky I; Department of Software and Information Systems Engineering, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel.
Bioinformatics ; 37(3): 303-311, 2021 04 20.
Article in En | MEDLINE | ID: mdl-32804993

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disease Outbreaks / Genome, Bacterial Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Israel

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disease Outbreaks / Genome, Bacterial Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Israel