文献
J-GLOBAL ID:202002267469355136
整理番号:20A0195559
CAPSCARO:発癌物質を予測するための新しいスパースデータ深層学習ツール【JST・京大機械翻訳】
CapsCarcino: A novel sparse data deep learning tool for predicting carcinogens
著者 (8件):
Wang Yi-Wei
(State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China)
,
Wang Yi-Wei
(College of Preclinical Medicine, Southwest Medical University, Luzhou, Sichuan, 646000, PR China)
,
Huang Lei
(School of Computer Science & Engineer, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China)
,
Huang Lei
(Basic Teaching Department, Sichuan College of Architectural Technology, Deyang, Sichuan, 61800, PR China)
,
Jiang Si-Wen
(School of Computer Science & Engineer, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, PR China)
,
Li Kan
(State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China)
,
Zou Jun
(State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China)
,
Yang Sheng-Yong
(State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, PR China)
資料名:
Food and Chemical Toxicology
(Food and Chemical Toxicology)
巻:
135
ページ:
Null
発行年:
2020年
JST資料番号:
B0937A
ISSN:
0278-6915
CODEN:
FCTOD7
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)