文献
J-GLOBAL ID:202002212986096139
整理番号:20A2768738
植物由来天然化合物の医薬品使用を同定するための深層学習ベースアプローチ【JST・京大機械翻訳】
A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-Derived Natural Compounds
著者 (9件):
Yoo Sunyong
(School of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea)
,
Yang Hyung Chae
(Department of Otorhinolaryngology-Head and Neck Surgery, Chonnam National University Medical School and Chonnam National University Hospital, Gwangju, South Korea)
,
Lee Seongyeong
(School of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea)
,
Shin Jaewook
(School of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea)
,
Min Seyoung
(School of Electronics and Computer Engineering, Chonnam National University, Gwangju, South Korea)
,
Lee Eunjoo
(Big Data Steering Department, National Health Insurance Service, Wonju, South Korea)
,
Song Minkeun
(Research Institute of Medical Sciences, Cardiovascular Research Institute, Chonnam National University Medical School & Hospital, Gwangju, South Korea)
,
Lee Doheon
(Bio-Synergy Research Center, Daejeon, South Korea)
,
Lee Doheon
(Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea)
資料名:
Frontiers in Pharmacology (Web)
(Frontiers in Pharmacology (Web))
巻:
11
ページ:
584875
発行年:
2020年
JST資料番号:
U7091A
ISSN:
1663-9812
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)