Visualization of Runs of Homozygosity and Classification Using Convolutional Neural Networks

Runs of homozygosity (ROH) are key elements of the genetic structure of populations, reflecting inbreeding levels, selection history, and potential associations with phenotypic traits. This study proposes a novel approach to ROH analysis through visualization and classification using convolutional n...

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Autores principales:	Siroj Bakoev, Maria Kolosova, Timofey Romanets, Faridun Bakoev, Anatoly Kolosov, Elena Romanets, Anna Korobeinikova, Ilona Bakoeva, Vagif Akhmedli, Lyubov Getmantseva
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-04-01
Colección:	Biology
Materias:	runs of homozygosity (ROH) convolutional neural networks (CNN) deep learning image analysis genetic architecture traits
Acceso en línea:	https://www.mdpi.com/2079-7737/14/4/426
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