文献
J-GLOBAL ID:202402219276230975
整理番号:24A0290666
機械学習はNAFLDの潜在的診断バイオマーカーとしてのフェロトーシス関連遺伝子ANXA2を同定する【JST・京大機械翻訳】
Machine learning identifies ferroptosis-related gene ANXA2 as potential diagnostic biomarkers for NAFLD
著者 (7件):
Qin Jingtong
(1The First Clinical College, Guangdong Medical University, Zhanjiang, China)
,
Cao Peng
(2Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China)
,
Ding Xuexuan
(1The First Clinical College, Guangdong Medical University, Zhanjiang, China)
,
Zeng Zeyao
(1The First Clinical College, Guangdong Medical University, Zhanjiang, China)
,
Deng Liyan
(1The First Clinical College, Guangdong Medical University, Zhanjiang, China)
,
Luo Lianxiang
(3The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China)
,
Luo Lianxiang
(4The Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, China)
資料名:
Frontiers in Endocrinology (Web)
(Frontiers in Endocrinology (Web))
巻:
14
ページ:
1303426
発行年:
2023年
JST資料番号:
U7068A
ISSN:
1664-2392
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)