Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.

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第一作者： Nadejda,Lupolova

第一单位： Division of Infection and Immunity, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.

作者： Nadejda,Lupolova ^[1] ; Antonia,Chalka ^[1] ; David L,Gally ^[2]

作者单位： Division of Infection and Immunity, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK. ^[1] Division of Infection and Immunity, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK. david.gally@roslin.ed.ac.uk. ^[2]

关键词 Host attribution Machine learning STEC Whole genome sequence (WGS)Zoonotic threat

主题词动物(Animals);牛(Cattle);大肠杆菌感染(Escherichia coli Infections);基因组, 细菌(Genome, Bacterial);人类(Humans);种系发生(Phylogeny);产志贺毒素大肠杆菌(Shiga-Toxigenic Escherichia coli)

DOI 10.1007/978-1-0716-1339-9_4

PMID 33704750

发布时间 2021-04-01

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