Support vector machine applied to predict the zoonotic potential of E. coli O157 cattle isolates

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 40, 2016, Pages 11312-11317

  Lupolova, Nadejda ^a   Dallman, Timothy J ^b   Matthews, Louise ^c   Bono, James L ^d   Gally, David L ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b PUBLIC HEALTH ENGLAND   (United Kingdom)

^c UNIVERSITY OF GLASGOW   (United Kingdom)

^d U S MEAT ANIMAL RESEARCH CENTER   (United States)

Author keywords

Cattle; E. coli; Machine learning; Shiga toxin; Zoonosis

Indexed keywords

VIRULENCE FACTOR; VEROTOXIN 2;

ARTICLE; BACTERIUM ISOLATE; DATA BASE; ESCHERICHIA COLI O157; NONHUMAN; PHYLOGENY; PREDICTION; PRIORITY JOURNAL; SHIGA TOXIN PRODUCING ESCHERICHIA COLI; SUPPORT VECTOR MACHINE; ZOONOSIS; ANIMAL; BOVINE; CATTLE DISEASE; EPIDEMIC; ESCHERICHIA COLI INFECTION; HUMAN; ISOLATION AND PURIFICATION; METABOLISM; MICROBIOLOGY; UNITED KINGDOM;

ANIMALS; CATTLE; CATTLE DISEASES; DISEASE OUTBREAKS; ESCHERICHIA COLI INFECTIONS; ESCHERICHIA COLI O157; HUMANS; PHYLOGENY; SHIGA TOXIN 2; SUPPORT VECTOR MACHINE; UNITED KINGDOM; ZOONOSES;

EID: 84989829158     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1606567113     Document Type: Article

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