RUNX1 and CCL3 in Diabetes Mellitus-Related Coronary Artery Disease: A Bioinformatics Analysis-Reference-Cited by-同舟云学术

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RUNX1 and CCL3 in Diabetes Mellitus-Related Coronary Artery Disease: A Bioinformatics Analysis

Published:2022-01 Issue: Volume:Volume 15 Page:955-963
ISSN:1178-7074
Container-title:International Journal of General Medicine
language:en
Short-container-title:IJGM

Author:

Zhong Yi^ORCID,Du Guoyong^ORCID,Liu Jie,Li Shaohua,Lin Junhua,Deng Guoxiong,Wei Jinru,Huang Jun

Publisher

Informa UK Limited

Subject

General Medicine

Reference48 articles.

1. Global economic burden of diabetes and its implications

2. Coronary Artery Disease

3. Comprehensive Identification of Key Genes Involved in Development of Diabetes Mellitus-Related Atherogenesis Using Weighted Gene Correlation Network Analysis

4. Identification of an miRNA Regulatory Network and Candidate Markers for Ischemic Stroke Related to Diabetes

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1. The Identification of Key Genes and Biological Pathways in Cardiac Arrest by Integrated Bioinformatics and Next Generation Sequencing Data Analysis;2024-08-19

2. Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis;2024-05-08

3. Identification of key genes and biological pathways in chronic obstructive pulmonary disease using bioinformatics and next generation sequencing data analysis;2024-02-14

4. Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysis;2023-12-07

5. RUNX1 facilitates heart failure progression through regulating TGF-β-induced cardiac remodeling;PeerJ;2023-10-31

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