文献
J-GLOBAL ID:201902239989802102
整理番号:19A1561446
化学モチーフ検出のための化合物のSmiles表現に基づく畳込みニューラルネットワーク【JST・京大機械翻訳】
Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
著者 (6件):
Hirohara Maya
(Department of Biosciences and Informatics, Keio University, Yokohama, Japan)
,
Saito Yutaka
(Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan)
,
Saito Yutaka
(Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan)
,
Koda Yuki
(Department of Biosciences and Informatics, Keio University, Yokohama, Japan)
,
Sato Kengo
(Department of Biosciences and Informatics, Keio University, Yokohama, Japan)
,
Sakakibara Yasubumi
(Department of Biosciences and Informatics, Keio University, Yokohama, Japan)
資料名:
BMC Bioinformatics (Web)
(BMC Bioinformatics (Web))
巻:
19
号:
19
ページ:
526
発行年:
2018年
JST資料番号:
U7025A
ISSN:
1471-2105
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)