サトウ　アツシ   佐藤　淳    所属   応用生物学部 応用生物学科    職種   教授
言語種別	英語
発行・発表の年月	2018/08
形態種別	学術講演予稿集（学会、研究会を含む）
査読	査読あり
標題	Application of Conditional Generative Adversarial Nets to iPSC-derived Cancer Stem Cell Modeling
執筆形態	共著
掲載誌名	The 8th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA2018)
掲載区分	国外
著者・共著者	Hiroyuki Kameda, Saori Aida, Sakae Nishisako, Tomonari Kasai, Atsushi Sato and Tomoyasu Sugiyama
概要	This paper proposes a new artificial intelligence application to discover new drugs. CGAN (Conditional Generative Adversarial Nets), which is one of Deep Learning algorithms, is applied to detect iPSCderived cancer stem cells. Fundamental validity of this method was showed by experiments.