Patchy promiscuity: Machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli

Microbial Genomics

Volumn 3, Issue 10, 2017, Pages

  Lupolova, Nadejda ^a   Dallman, Tim J ^b   Holden, Nicola J ^c   Gally, David L ^d  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b PUBLIC HEALTH ENGLAND   (United Kingdom)

^c SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

^d UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

E. coli; Host specificity; Machine learning; Salmonella; Support vector machine; Zoonosis

Indexed keywords

ARTICLE; BACTERIUM ISOLATE; BACTERIUM ISOLATION; ESCHERICHIA COLI; GENE CLUSTER; GENOME ANALYSIS; HOST RANGE; HUMAN; MACHINE LEARNING; MULTILOCUS SEQUENCE TYPING; NONHUMAN; PHYLOGENY; SALMONELLA ENTERICA; SCORING SYSTEM; SUPPORT VECTOR MACHINE; ZOONOSIS; ANIMAL; GENE LIBRARY; GENETICS;

ANIMALS; ESCHERICHIA COLI; GENOMIC LIBRARY; HOST SPECIFICITY; HUMANS; MACHINE LEARNING; PHYLOGENY; SALMONELLA ENTERICA; ZOONOSES;

EID: 85048214713     PISSN: None     EISSN: 20575858     Source Type: Journal    
DOI: 10.1099/mgen.0.000135     Document Type: Article

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