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Haplotype and population structure inference using neural networks in whole-genome sequencing data
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-gen...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435741/ https://www.ncbi.nlm.nih.gov/pubmed/35794006 http://dx.doi.org/10.1101/gr.276813.122 |