Author

V. Perrone

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

J. Chan· 1 shared J. P. Spence· 1 shared P. A. Jenkins· 1 shared S. Mathieson· 1 shared Y. S. Song· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperEvolutionary Biology

J. Chan

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1 paper

Recent·Most cited

A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks

J. Chan, V. Perrone, J. P. Spence, P. A. Jenkins, S. Mathieson, Y. S. Song

This paper introduces an exchangeable neural network framework for likelihood-free inference in population genetics, demonstrating superior performance on recombination hotspot testing.

bioRxiv · Nov 5, 2018 · PreprintEvolutionary Biology