Detecting introgression from phylogenetic invariant site patterns using machine learning

Patrick F. McKenzie, Deren A. R. Eaton

Open source

DOI: 10.1002/aps3.70061
Published: 2026-05
Container: Applications in Plant Sciences
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/aps3.70061,
  title = {Detecting introgression from phylogenetic invariant site patterns using machine learning},
  author = {Patrick F. McKenzie and Deren A. R. Eaton},
  year = {2026},
  journal = {Applications in Plant Sciences},
  doi = {10.1002/aps3.70061},
  url = {https://doi.org/10.1002/aps3.70061}
}

RIS

TY  - JOUR
TI  - Detecting introgression from phylogenetic invariant site patterns using machine learning
AU  - Patrick F. McKenzie
AU  - Deren A. R. Eaton
PY  - 2026
JO  - Applications in Plant Sciences
DO  - 10.1002/aps3.70061
UR  - https://doi.org/10.1002/aps3.70061
ER  -

APA

McKenzie, P. F., & Eaton, D. A. R. (2026). Detecting introgression from phylogenetic invariant site patterns using machine learning. Applications in Plant Sciences. https://doi.org/10.1002/aps3.70061

Source records

crossref · retrieved 2026-09-26T04:09:04.950Z