Genome-wide cis-decoding for expression designing in tomato using cistrome data and explainable deep learning
T. Akagi, K. Masuda, E. Kuwada, K. Takeshita, T. Kawakatsu, T. Ariizumi, Y. Kubo, K. Ushijima, S. Uchida
This study uses cistrome data and explainable deep learning to predict tomato fruit expression patterns from DNA sequences, identifying key regulatory elements involved in ripening.
bioRxiv · Jun 1, 2021 · PreprintPlant Biology