○Yohei Nitta1, Hiroki Kawai2, Ryuto Maki3, Jiro Osaka3, Hakeda-Suzuki Satoko3, Yoshitaka Nagai4,5, Karolína Doubková6,8, Tomoko Uehara9, Kenji Watanabe10, Kenjiro Kosaki11, Takashi Suzuki3, Gaia Tavosanis6,7,8, Atsushi Sugie1
(1. Brain Science Institute, Niigata University, Niigata, Japan, 2. LPIXEL Inc., Tokyo, Japan, 3. School of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Japan, 4. Department of Neurotherapeutics, Osaka University Graduate School of Medicine, Suita, Japan, 5. Department of Neurology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan, 6. German Center for Neurodegenerative Diseases, Bonn, Germany, 7. University of Bonn, Bonn, Germany, 8. RWTH Aachen Institut für Entwicklungsbiologie, Worringerweg Aachen, Germany, 9. Division of Clinical Genetics, Aichi Developmental Disability Center Hospital, Kasugai, Japan, 10. Department of Pediatrics, Kagoshima City Hospital, Kagoshima, Japan, 11. Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan)
Keywords:Drosophila, neurodegeneration, machine learning, method