Kanae Masuda, co-first author of “Genome-wide cis-decoding for expression design in tomato using cistrome data and explainable deep learning”
Current Position: Ph.D. candidate in Graduate School of Environmental and Life Science, Okayama University, Japan.
Education: MSc and BSc in Agricultural Biology, Kyoto University, Japan.
Non-scientific interests: watching movies, walking, hot springs
I have joined Prof. Takashi Akagi’s lab at Okayama University since 2019. My main research topic in PhD course is on evolution of sex determination system in persimmon. I have been also interested in utilization of deep learning techniques for various biological processes. Previously, we have successfully applied deep learning to diagnosis for fruit inside conditions (such as seed numbers or fruit texture) from outer appearance images. Here, we tried to use deep learning for genomic DNA sequences to predict expression patterns in tomato fruit ripening. I am now interested in how we can apply deep learning techs as well to analysis of gene regulatory networks in sex determination.