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

Research output: Contribution to journal › Article › peer-review

Keywords

@article{f8669264da4b47d7869fb04ff78d6c6c,

title = "Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli.",

keywords = "Escherichia coli (E. coli), Host specificity, Machine learning, Salmonella, Zoonosis",

author = "N. Lupolova and T.J. Dallman and N.J. Holden and D.L. Gally",

year = "2017",

month = oct,

day = "1",

doi = "10.1099/mgen.0.000135",

language = "English",

volume = "3",

journal = "Microbial Genomics",

number = "10",

}

TY - JOUR

T1 - Patchy promiscuity: machine learning applied to predict the host specificity of Salmonella enterica and Escherichia coli.

AU - Lupolova, N.

AU - Dallman, T.J.

AU - Holden, N.J.

AU - Gally, D.L.

PY - 2017/10/1

Y1 - 2017/10/1

KW - Escherichia coli (E. coli)

KW - Host specificity

KW - Machine learning

KW - Salmonella

KW - Zoonosis

U2 - 10.1099/mgen.0.000135

DO - 10.1099/mgen.0.000135

M3 - Article

VL - 3

JO - Microbial Genomics

JF - Microbial Genomics

IS - 10

M1 - Art. 000135

ER -