Detecting introgression from phylogenetic invariant site patterns using machine learning.
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| Title: | Detecting introgression from phylogenetic invariant site patterns using machine learning. |
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| Authors: | McKenzie, Patrick F.1,2 (AUTHOR) patrickmcke@gmail.com, Eaton, Deren A. R.3 (AUTHOR) |
| Source: | Applications in Plant Sciences. May2026, Vol. 14 Issue 3, p1-16. 16p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194784341 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=194784341 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/aps3.70061 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: Detecting introgression from phylogenetic invariant site patterns using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McKenzie, Patrick F. – PersonEntity: Name: NameFull: Eaton, Deren A. R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 21680450 Numbering: – Type: volume Value: 14 – Type: issue Value: 3 Titles: – TitleFull: Applications in Plant Sciences Type: main |
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