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Zachary D Zbinden

Researcher

University of Arkansas

Last publication 2024 Last refreshed 2026-04-01

grad_student

1 pubs

Research Areas

OverviewAI-generated summary

Zachary D Zbinden's research focuses on the application of deep learning techniques to biological data. His recent publication, "GeoGenIE: a deep learning approach to predict geographic provenance of biodiversity samples from genomic SNPs," developed a novel method for inferring the origin of biodiversity samples using genomic single nucleotide polymorphisms (SNPs). This work highlights his interest in leveraging advanced computational methods for ecological and evolutionary studies. Zbinden has collaborated with researchers at the University of Arkansas at Fayetteville, including Michael E. Douglas, Marlis R. Douglas, Bradley T. Martin, and Tyler K. Chafin, on shared publications.

Metrics

Publications: 1

Selected Publications

GeoGenIE: a deep learning approach to predict geographic provenance of biodiversity samples from genomic SNPs (2024)

DOI OpenAlex

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Collaboration Network

4 Collaborators 4 Institutions 2 Countries

Top Collaborators

Bradley T. Martin University of Arkansas at Fayetteville (US) 1 shared publication

Michael E. Douglas University of Arkansas at Fayetteville (US) 1 shared publication

Marlis R. Douglas University of Arkansas at Fayetteville 1 shared publication

In database

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Tyler K. Chafin Wellcome Sanger Institute (GB) 1 shared publication

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