Author

Gilia Patterson

University of OregonORCID 0009-0004-5751-1247Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Organism:multiple species· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andrew D. KerniD· 2 shared Peter L. RalphiD· 2 shared Chris C. R. SmithiD· 1 shared Claire K. Goodfellow· 1 shared Nelson TingiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersEcology

Andrew D. KernORCID

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2 papers

Recent·Most cited

EcologyMolecular Ecology ResourcesPeer-reviewedNov 6, 2025

Simulation-based spatially explicit close-kin mark-recapture

Gilia Patterson, Claire K. Goodfellow, Nelson Ting…·Peter L. Ralph

The paper introduces a simulation-based CKMR method, CKMRnn, that improves population size estimation by accounting for spatial heterogeneity and demonstrates its accuracy using Ugandan elephant data.

3 citations

multiple speciesdeep learning

𝕏 PostBluesky

Evolutionary BiologyMolecular Ecology ResourcesPeer-reviewedAug 16, 2024

Estimation of spatial demographic maps from polymorphism data using a neural network

Chris C. R. Smith, Gilia Patterson, Peter L. Ralph, Andrew D. Kern

This paper introduces a neural network method to estimate spatial demographic maps from SNP data, showing it can infer population density and dispersal rates across landscapes.

8 citations

DNA methylationdeep learning

𝕏 PostBluesky