1. Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis
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  2. Identification and Mendelian randomization validation of pathogenic gene biomarkers in obstructive sleep apnea
    Nianjin Gong et al, 2024, Frontiers in Neurology CrossRef
  3. Integrative in silico approaches to analyse microRNA‐mediated responses in human diseases
    Meghna Agrawal et al, 2024, The Journal of Gene Medicine CrossRef
  4. Identification of key modules and hub genes associated with lung function in idiopathic pulmonary fibrosis
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  5. Identification and validation of key genes associated with atrial fibrillation in the elderly
    Chuanbin Liu et al, 2023, Frontiers in Cardiovascular Medicine CrossRef
  6. [Retracted] Multiomics Analysis of Genetics and Epigenetics Reveals Pathogenesis and Therapeutic Targets for Atrial Fibrillation
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  7. Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis
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  8. Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer
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  9. Identification of CeRNA Regulatory Networks in Atrial Fibrillation Using Nanodelivery
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  10. HTR2B and SLC5A3 Are Specific Markers in Age-Related Osteoarthritis and Involved in Apoptosis and Inflammation of Osteoarthritis Synovial Cells
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  11. Identification of functional pathways and potential genes associated with interferon signaling during human adenovirus type 7 infection by weighted gene coexpression network analysis
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