Author

C. C. R. Smith

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Evolutionary Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:transformer / foundation model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

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A. D. Kern· 1 shared P. L. Ralph· 1 shared S. Tittes· 1 shared

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2022-2022 · peak 1/yr

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1 shared paperEvolutionary Biology

A. D. Kern

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1 paper

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Evolutionary BiologybioRxivAug 25, 2022

Dispersal inference from population genetic variation using a convolutional neural network

C. C. R. Smith, S. Tittes, P. L. Ralph, A. D. Kern

This paper introduces disperseNN, a convolutional neural network that estimates dispersal distance from genetic data without requiring geographic coordinates, outperforming existing methods in simulations and applied to 12 species.

DOI 10.1093/genetics/iyad068

whole-genome sequencingdeep learning

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