Machine learning identifies key microbial signatures for Salmonella enteritidis colonization and persistence in broiler ceca.
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| Title: | Machine learning identifies key microbial signatures for Salmonella enteritidis colonization and persistence in broiler ceca. |
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| Authors: | Poudel S; Department of Poultry Science, Auburn University, United States. Electronic address: SZP0208@auburn.edu., Zelaya FAC; Department of Poultry Science, Auburn University, United States., Guzman EGG; Department of Poultry Science, Auburn University, United States., Rahman FA; Department of Poultry Science, Auburn University, United States., Naeem M; Department of Poultry Science, Auburn University, United States., Adhikari Y; Department of Poultry Science, Auburn University, United States., Manjankattil S; Department of Poultry Science, Auburn University, United States., Pacheco W; Department of Poultry Science, Auburn University, United States., Hauck R; Department of Poultry Science, Auburn University, United States; Department of Pathobiology, Auburn University, United States., Bourassa D; Department of Poultry Science, Auburn University, United States., Macklin K; Department of Poultry Science, Mississippi State University, United States. |
| Source: | Poultry science [Poult Sci] 2026 Sep 14; Vol. 105 (12), pp. 107753. Date of Electronic Publication: 2026 Sep 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: England NLM ID: 0401150 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-3171 (Electronic) Linking ISSN: 00325791 NLM ISO Abbreviation: Poult Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42772141 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine learning identifies key microbial signatures for Salmonella enteritidis colonization and persistence in broiler ceca. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Poudel+S%22">Poudel S</searchLink>; Department of Poultry Science, Auburn University, United States. Electronic address: SZP0208@auburn.edu.<br /><searchLink fieldCode="AU" term="%22Zelaya+FAC%22">Zelaya FAC</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Guzman+EGG%22">Guzman EGG</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Rahman+FA%22">Rahman FA</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Naeem+M%22">Naeem M</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Adhikari+Y%22">Adhikari Y</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Manjankattil+S%22">Manjankattil S</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Pacheco+W%22">Pacheco W</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Hauck+R%22">Hauck R</searchLink>; Department of Poultry Science, Auburn University, United States; Department of Pathobiology, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Bourassa+D%22">Bourassa D</searchLink>; Department of Poultry Science, Auburn University, United States.<br /><searchLink fieldCode="AU" term="%22Macklin+K%22">Macklin K</searchLink>; Department of Poultry Science, Mississippi State University, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220401150%22">Poultry science</searchLink> [Poult Sci] 2026 Sep 14; Vol. 105 (12), pp. 107753. <i>Date of Electronic Publication: </i>2026 Sep 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0401150 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1525-3171 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200325791%22">00325791 </searchLink><i>NLM ISO Abbreviation: </i>Poult Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42772141 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.psj.2026.107753 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 107753 Titles: – TitleFull: Machine learning identifies key microbial signatures for Salmonella enteritidis colonization and persistence in broiler ceca. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Poudel S – PersonEntity: Name: NameFull: Zelaya FAC – PersonEntity: Name: NameFull: Guzman EGG – PersonEntity: Name: NameFull: Rahman FA – PersonEntity: Name: NameFull: Naeem M – PersonEntity: Name: NameFull: Adhikari Y – PersonEntity: Name: NameFull: Manjankattil S – PersonEntity: Name: NameFull: Pacheco W – PersonEntity: Name: NameFull: Hauck R – PersonEntity: Name: NameFull: Bourassa D – PersonEntity: Name: NameFull: Macklin K IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 09 Text: 2026 Sep 14 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1525-3171 Numbering: – Type: volume Value: 105 – Type: issue Value: 12 Titles: – TitleFull: Poultry science Type: main |
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