Identification of the Biomarkers and Pathological Process of Osteoarthritis: Weighted Gene Co-expression Network Analysis
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Title
Identification of the Biomarkers and Pathological Process of Osteoarthritis: Weighted Gene Co-expression Network Analysis
Authors
Keywords
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Journal
Frontiers in Physiology
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2019-03-19
DOI
10.3389/fphys.2019.00275
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- (2015) Ali Mobasheri et al. BIOMARKERS
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- (2015) Leif Ryd et al. Cartilage
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- (2014) Constance R. Chu et al. JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME
- STRING v10: protein–protein interaction networks, integrated over the tree of life
- (2014) Damian Szklarczyk et al. NUCLEIC ACIDS RESEARCH
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- (2012) David B. Burr et al. Nature Reviews Rheumatology
- The Impact of Osteoarthritis in the United States
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- Epidemiology of Osteoarthritis
- (2012) Tuhina Neogi et al. RHEUMATIC DISEASE CLINICS OF NORTH AMERICA
- High Density Sphere Culture of Adult Cardiac Cells Increases the Levels of Cardiac and Progenitor Markers and Shows Signs of Vasculogenesis
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