2023-05-12Zeitschriftenartikel
Combination of whole genome sequencing and supervised machine learning provides unambiguous identification of eae-positive Shiga toxin-producing Escherichia coli
Vorimore, Fabien; Jaudou, Sandra; Tran, Mai-Lan; Richard, Hugues; Fach, Patrick; Delannoy, Sabine
Introduction: The objective of this study was to develop, using a genome wide
machine learning approach, an unambiguous model to predict the presence of
highly pathogenic STEC in E. coli reads assemblies derived from ...