A Deep Learning Approach to Population Structure Inference in Inbred Lines of Maize

A Deep Learning Approach to Population Structure Inference in Inbred Lines of Maize

Analysis of population genetic variation and structure is a common practice for genome-wide studies, including association mapping, ecology, and evolution studies in several crop species. In this study, machine learning (ML) clustering methods, K-means (KM), and hierarchical clustering (HC), in comb...

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Bibliographic Details
Main Authors: Xaviera Alejandra López-Cortés, Felipe Matamala, Carlos Maldonado, Freddy Mora-Poblete, Carlos Alberto Scapim
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Genetics
Subjects:
deep learning
genome-wide studies
machine learning
single-nucleotide polymorphisms
dimensionality reduction
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.543459/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2020.543459/full

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