文献
J-GLOBAL ID:202202236825578205
整理番号:22A1039112
癌遺伝子発現データの二値分類のための深層学習モデルの性能解析【JST・京大機械翻訳】
Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data
著者 (5件):
Majumder Subhasree
(Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Meghalaya, India)
,
Yogita
(Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Meghalaya, India)
,
Pal Vipin
(Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Meghalaya, India)
,
Yadav Anju
(School of Computing and Information Technology, Manipal University Jaipur, Jaipur, India)
,
Chakrabarty Amitabha
(Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh)
資料名:
Journal of Healthcare Engineering (Web)
(Journal of Healthcare Engineering (Web))
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
U7772A
ISSN:
2040-2295
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)