文献
J-GLOBAL ID:202002268691680514
整理番号:20A2560933
不均一な特徴を融合することによるDNA N=6-メチルアデノシンサイトの識別のための深層学習ベース計算アプローチ【JST・京大機械翻訳】
A deep learning-based computational approach for discrimination of DNA N6-methyladenosine sites by fusing heterogeneous features
著者 (6件):
Tahir Muhammad
(Department of Computer Science, Abdul Wali Khan University, Mardan, 23200, KP, Pakistan)
,
Tahir Muhammad
(Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju, 54896, South Korea)
,
Hayat Maqsood
(Department of Computer Science, Abdul Wali Khan University, Mardan, 23200, KP, Pakistan)
,
Ullah Imran
(Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan)
,
Chong Kil To
(Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju, 54896, South Korea)
,
Chong Kil To
(Advanced Electronics and Information Research Center, Jeonbuk National University, Jeonju, 54896, South Korea)
資料名:
Chemometrics and Intelligent Laboratory Systems
(Chemometrics and Intelligent Laboratory Systems)
巻:
206
ページ:
Null
発行年:
2020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)