文献
J-GLOBAL ID:202202211411801165
整理番号:22A0439452
多目的グラフ理論ベース法によるマイクロアレイデータ分類のための遺伝子選択【JST・京大機械翻訳】
Gene selection for microarray data classification via multi-objective graph theoretic-based method
著者 (7件):
Rostami Mehrdad
(Centre of Machine Vision and Signal Processing, Faculty of Information Technology, University of Oulu, Oulu, Finland)
,
Forouzandeh Saman
(Department of Computer Engineering, University of Applied Science and Technology, Center of Tehran Municipality ICT org., Tehran, Iran)
,
Berahmand Kamal
(School of Computer Sciences, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Australia)
,
Soltani Mina
(Department of Nutrition, Kashan University of Medical Sciences, Kashan, Iran)
,
Shahsavari Meisam
(Department of engineering physics, Tsinghua University, Beijing, China)
,
Oussalah Mourad
(Centre of Machine Vision and Signal Processing, Faculty of Information Technology, University of Oulu, Oulu, Finland)
,
Oussalah Mourad
(Research Unit of Medical Imaging, Physics, and Technology, Faculty of Medicine, University of Oulu, Finland)
資料名:
Artificial Intelligence in Medicine
(Artificial Intelligence in Medicine)
巻:
123
ページ:
Null
発行年:
2022年
JST資料番号:
T0685A
ISSN:
0933-3657
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)