Machine learning models can identify individuals based on a resident oral bacteriophage family.
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| Title: | Machine learning models can identify individuals based on a resident oral bacteriophage family. |
|---|---|
| Authors: | Mahmoudabadi, Gita1 gitam@stanford.edu, Homyk, Kelsey2, Catching, Adam B.3, Mahmoudabadi, Ana4, Bermudez Foley, Helen5, Tadmor, Arbel D.6, Phillips, Rob7 |
| Source: | Frontiers in Microbiomes. 2024, p01-17. 17p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 179708772 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179708772 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/frmbi.2024.1408203 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 01 Titles: – TitleFull: Machine learning models can identify individuals based on a resident oral bacteriophage family. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mahmoudabadi, Gita – PersonEntity: Name: NameFull: Homyk, Kelsey – PersonEntity: Name: NameFull: Catching, Adam B. – PersonEntity: Name: NameFull: Mahmoudabadi, Ana – PersonEntity: Name: NameFull: Bermudez Foley, Helen – PersonEntity: Name: NameFull: Tadmor, Arbel D. – PersonEntity: Name: NameFull: Phillips, Rob IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 09 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 28134338 Titles: – TitleFull: Frontiers in Microbiomes Type: main |
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