Abstract:Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. In this study, we developed deep learning models that link gene sequence data with mRNA copy number for the plant species Arabidopsis thaliana, Sorghum bicolor, Solanum lycopersicum and Zea mays, and predicted the regulatory effect of gene sequence variation. Our models achieved over 80% accuracy in the species-… Show more
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