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Predicting Food Sources of Listeria monocytogenes Based on Genomic Profiling Using Random Forest Model.

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Title: Predicting Food Sources of Listeria monocytogenes Based on Genomic Profiling Using Random Forest Model.
Authors: Gu W; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Cui Z; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Stroika S; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Carleton HA; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Conrad A; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Katz LS; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Richardson LC; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Hunter J; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Click ES; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA., Bruce BB; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Source: Foodborne pathogens and disease [Foodborne Pathog Dis] 2023 Dec; Vol. 20 (12), pp. 579-586. Date of Electronic Publication: 2023 Sep 12.
Publication Type: Journal Article
Journal Info: Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 101120121 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-7125 (Electronic) Linking ISSN: 15353141 NLM ISO Abbreviation: Foodborne Pathog Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Predicting Food Sources of Listeria monocytogenes Based on Genomic Profiling Using Random Forest Model.
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  Data: <searchLink fieldCode="AU" term="%22Gu+W%22">Gu W</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Cui+Z%22">Cui Z</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Stroika+S%22">Stroika S</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Carleton+HA%22">Carleton HA</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Conrad+A%22">Conrad A</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Katz+LS%22">Katz LS</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Richardson+LC%22">Richardson LC</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Hunter+J%22">Hunter J</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Click+ES%22">Click ES</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.<br /><searchLink fieldCode="AU" term="%22Bruce+BB%22">Bruce BB</searchLink>; Division of Foodborne, Waterborne and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Mary+Ann+Liebert%2C+Inc%22">Mary Ann Liebert, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101120121 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1556-7125 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215353141%22">15353141 </searchLink><i>NLM ISO Abbreviation: </i>Foodborne Pathog Dis <i>Subsets: </i>MEDLINE
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        Value: 10.1089/fpd.2023.0046
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      – Code: eng
        Text: English
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      – TitleFull: Predicting Food Sources of Listeria monocytogenes Based on Genomic Profiling Using Random Forest Model.
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              Text: 2023 Dec
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