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Haplotype-based autoencoders can reduce the dataset dimension and estimate haplotype block effects in different crop species
Background: In plant breeding, many studies currently investigate the application of machine learning (ML) to genomic prediction, hoping for an improvement in prediction accuracy compared to standard models like Genomic Best Linear Unbiased Prediction (GBLUP). However, ML algorithms require much hig
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