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Article

Haplotype and Population Structure Inference using Neural Networks in Whole-Genome Sequencing Data

2020-12-28

Abstract excerpt

Accurate inference of population structure is important in many studies of population genetics. Here we present, HaploNet , a method for performing dimensionality reduction and clustering of genetic data. The method is based on local clustering of phased haplotypes using neural networks from whole-genome sequencing or dense genotype data. By utilizing Gaussian mixtures in a variational autoencoder framework, we a...

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Literature Corpus work
7701c862-3c86-5d5e-93b8-23deb01e63f9
DOI
10.1101/2020.12.28.424587
Open publication

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Haplotype and Population Structure Inference using Neural Networks in Whole-Genome Sequencing DataDOI 10.1101/2020.12.28.424587
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