Identification of mitochondria-related biomarkers in liver fibrosis via interpretable machine learning and WGCNA: transcriptomic analysis and In Vivo validation - Scorecard - MDSpire

Identification of mitochondria-related biomarkers in liver fibrosis via interpretable machine learning and WGCNA: transcriptomic analysis and In Vivo validation

  • By

  • Yupeng Ma

  • Xinhong Chen

  • Lujin Yin

  • Yongbin Chi

  • Denghai Zhang

  • Xiaocheng Xue

  • Xue Zhang

  • May 28, 2026

  • 0 min

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Clinical Scorecard: Discovery of Mitochondrial Biomarkers Linked to Liver Fibrosis Through Interpretable Machine Learning and WGCNA: Transcriptomic Insights and In Vivo Confirmation

At a Glance

CategoryDetail
Condition
Key MechanismsMitochondrial dysfunction, energy metabolism, and fibrogenesis (emphasize mitochondrial role)
Target Population
Care Setting

Key Highlights

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Guideline-Based Recommendations

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        Related Resources & Content

        Original Source(s)

        Identification of mitochondria-related biomarkers in liver fibrosis via interpretable machine learning and WGCNA: transcriptomic analysis and In Vivo validation

        • by Yupeng Ma, Xinhong Chen, Lujin Yin, Yongbin Chi, Denghai Zhang, Xiaocheng Xue, Xue Zhang

        • May 28, 2026

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