Interpretable Deep Learning Models Reveal Regulatory Elements Predicting Gene Expression in Diverse Plant Species
Peleke et al. developed interpretable deep learning models to predict gene expression from gene flanking regions in plants, revealing conserved and species-specific regulatory elements and their impacts on genetic variation and phenotype.