Identification of four-gene signature to diagnose osteoarthritis through bioinformatics and machine learning methods-Reference-Cited by-同舟云学术

Identification of four-gene signature to diagnose osteoarthritis through bioinformatics and machine learning methods

Published:2023-09 Issue: Volume:169 Page:156300
ISSN:1043-4666
Container-title:Cytokine
language:en
Short-container-title:Cytokine

Author:

Chen Ziyi,Wang Wenjuan,Zhang Yuwen,Xue Xiao'ao,Hua Yinghui

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Molecular Biology,Hematology,Biochemistry,Immunology,Immunology and Allergy

Reference52 articles.

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4. Identification and validation of BCL6 and VEGFA as biomarkers and ageing patterns correlating with immune infiltrates in OA progression;Chen;Sci. Rep.,2023

5. Bioinformatics and system biology approach to identify potential common pathogenesis for COVID - 19 infection and osteoarthritis;Chen;Sci. Rep.,2023

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