Author

Lauren Catherine Ponisio

University of OregonORCID 0000-0002-3838-7357Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

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Andrew D. KerniD· 1 shared Rebecca A. HayesiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Andrew D. KernORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 1, 2026

Assessing the potential of bee-collected pollen sequence data to train machine learning models for geolocation of sample origin

Rebecca A. Hayes, Andrew D. Kern, Lauren Catherine Ponisio

This study uses bee-collected pollen sequence data to train machine learning models for predicting sample origin, finding that Random Forest and k-Nearest Neighbors models achieve high accuracy.

DOI 10.64898/2026.03.29.715128

metagenomicsmachine learning (classical)

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