most citedDisentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder

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cs.LG2024★ 1 cited

Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder

Anirudha Powadi, Talukder Zaki Jubery, Michael C. Tross +2

This study introduces a compositional autoencoder (CAE) framework designed to disentangle the complex interplay between genotypic and environmental factors in high-dimensional phen…