Identification of key proteins and pathways in myocardial infarction using machine learning approaches
C
Chang Liu
X
Xing Zhang
(State Key Laboratory of Elemento-Organic Chemistry, Frontiers Science Center for New Organic Matter, College of Chemistry)
Q
Qian Xie
(Shenzhen Grubbs Institute, Department of Chemistry, and Guangming Advanced Research Institute)
B
Binbin Fang
F
Fen Liu
(State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences)
J
Junyi Luo
G
Gulandanmu Aihemaiti
W
Wei Ji
(Beijing Key Laboratory of Optoelectronic Functional Materials & Micro-Nano Devices, School of Physics)
Y
Yining Yang
X
Xiaomei Li
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 15, Issue 1
Published
June 04, 2025
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (10)
C
Chang Liu
X
Xing Zhang
State Key Laboratory of Elemento-Organic Chemistry, Frontiers Science Center for New Organic Matter, College of Chemistry
Q
Qian Xie
Shenzhen Grubbs Institute, Department of Chemistry, and Guangming Advanced Research Institute
B
Binbin Fang
F
Fen Liu
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences
J
Junyi Luo
G
Gulandanmu Aihemaiti
W
Wei Ji
Beijing Key Laboratory of Optoelectronic Functional Materials & Micro-Nano Devices, School of Physics
Y
Yining Yang
X
Xiaomei Li
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