文献
J-GLOBAL ID:202002239696423243
整理番号:20A0493036
深部畳込みニューラルネットワークとアンサンブル学習の融合に基づく蛋白質一次配列からのATP結合部位の新規予測法【JST・京大機械翻訳】
A Novel Prediction Method for ATP-Binding Sites From Protein Primary Sequences Based on Fusion of Deep Convolutional Neural Network and Ensemble Learning
著者 (6件):
Song Jiazhi
(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China)
,
Liang Yanchun
(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China)
,
Liu Guixia
(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China)
,
Wang Rongquan
(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China)
,
Sun Liyan
(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China)
,
Zhang Ping
(Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China)
資料名:
IEEE Access
(IEEE Access)
巻:
8
ページ:
21485-21495
発行年:
2020年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)