文献
J-GLOBAL ID:202202285850660097
整理番号:22A0230879
スタックACPred:積層アンサンブルアプローチによる最適化多重特徴記述子の統合による抗癌ペプチドの予測【JST・京大機械翻訳】
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach
著者 (9件):
Arif Muhammad
(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China)
,
Arif Muhammad
(School of Systems and Technology, Department of Informatics and System, University of Management and Technology, Lahore, 54770, Pakistan)
,
Ahmed Saeed
(Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand)
,
Ahmed Saeed
(School of Systems and Technology, Department of Computer Science, University of Management and Technology, Lahore, 54770, Pakistan)
,
Ge Fang
(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China)
,
Kabir Muhammad
(School of Systems and Technology, Department of Computer Science, University of Management and Technology, Lahore, 54770, Pakistan)
,
Khan Yaser Daanial
(School of Systems and Technology, Department of Computer Science, University of Management and Technology, Lahore, 54770, Pakistan)
,
Yu Dong-Jun
(School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China)
,
Thafar Maha
(Department of Computer Science, College of Computers and Information Technology, Taif University, P.O.Box 110099, Taif, 21944, Saudi Arabia)
資料名:
Chemometrics and Intelligent Laboratory Systems
(Chemometrics and Intelligent Laboratory Systems)
巻:
220
ページ:
Null
発行年:
2022年
JST資料番号:
E0150B
ISSN:
0169-7439
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)