Article
Sub-sampling graph neural networks for genomic prediction of quantitative phenotypes.
G3 (Bethesda, Md.) - 6 Nov 2024
Kihlman Ragini, Launonen Ilkka, Sillanpää Mikko J, Waldmann Patrik
Abstract excerpt
In genomics, use of deep learning (DL) is rapidly growing and DL has successfully demonstrated its ability to uncover complex relationships in large biological and biomedical data sets. With the development of high-throughput sequencing techniques, genomic markers can now be allocated to large sections of a genome. By analyzing allele sharing between individuals, one may calculate realized genomic relationships...
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