Patrick J. Krysan

This study integrates multi-omics data to predict complex traits in Arabidopsis, showing that transcriptome- and methylome-based models perform comparably to genome-based models and reveal novel gene interactions.

This study uses deep learning to accurately measure Arabidopsis fitness traits, revealing gene function effects previously undetected by traditional methods.