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Hyperbolic geometry-based deep learning methods to produce population trees from genotype data

2022-03-29

Abstract excerpt

The production of population-level trees using the genomic data of individuals is a fundamental task in the field of population genetics. Typically, these trees are produced using methods like hierarchical clustering, neighbor joining, or maximum likelihood. However, such methods are non-parametric: they require all data to be present at the time of tree formation, and the addition of new data points necessitates...

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Literature Corpus work
0a13c56c-9238-5873-8a75-cee673297c89
DOI
10.1101/2022.03.28.484797
Open publication

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Hyperbolic geometry-based deep learning methods to produce population trees from genotype dataDOI 10.1101/2022.03.28.484797
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