9:05 AM - 9:30 AM

[1S-15-1] Gene functions in natura - approaches using machine learning and mutants to analyze phenome, transcriptome and ecological data in naturally fluctuating environments

〇Kentaro K. Shimizu^1,2, Reinhold Stockenhuber¹, Reiko Akiyama¹, Nicolas Tissot³, Michele Wyler¹, Alex Widmer⁴, Roman Ulm³, Jianqiang Sun⁵, Jun Sese⁵, Rie Shimizu-Inatsugi¹, Toshiaki Tameshige², Aya Tonouchi⁶, Natsumaro Kutsuna⁶, Kenta Tanaka⁷, Hiroshi Kudoh⁸, Yasuhiro Sato⁹, Atsushi Nagano J⁹, Eri Yamasaki¹, Roman Briskine¹, Tomoaki Nishiyama¹⁰, Tomonori Kume¹¹, Kaya Usun Shimizu¹², Iku Asano¹³, Takao Itioka¹³, Shin Nagai¹⁴, Misako Yamazaki¹ (1.Dept Evol Biol Env Studies, Univ Zurich, 2.Kihara Inst Biol Sci, Yokohama City Univ, 3.Dept Bot Plant Biol, Univ Geneva, 4.ETHZ, 5.Artificial Intelligence Research Center, AIST, 6.LPixel, Inc., 7.Sugadaira, Tsukuba Univ, 8.Center Ecol Res, Kyoto Univ, 9.Fac Agr, Ryukoku Univ, 10.Adv Sci Res Cen, Kanazawa Univ, 11.Fac Agr, Kyushu Univ, 12.Fac Life Env Sci, Shimane Univ, 13.Grad Sch Human Env Studies, Kyoto Univ, 14.JAMSTEC)

Arabidopsis, machine learning, ecology