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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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Biology
المؤلفون الرئيسيون:	Siroj Bakoev, Maria Kolosova, Timofey Romanets, Faridun Bakoev, Anatoly Kolosov, Elena Romanets, Anna Korobeinikova, Ilona Bakoeva, Vagif Akhmedli, Lyubov Getmantseva
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2025-04-01
الموضوعات:	runs of homozygosity (ROH) convolutional neural networks (CNN) deep learning image analysis genetic architecture traits
الوصول للمادة أونلاين:	https://www.mdpi.com/2079-7737/14/4/426