Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis - Top-Institutions - MDSpire

Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis

  • By

  • Xue Fu

  • Jian Yang

  • Qin Lv

  • Xiaotian Zhang

  • Sen Wang

  • Shangkun Cai

  • Meng Zhang

  • June 29, 2026

  • 0 min

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Harvard Medical School ecosystem (Massachusetts General Hospital, Brigham and Women’s Hospital) and the Broad Institute
    Harvard Medical School ecosystem (Massachusetts General Hospital, Brigham and Women’s Hospital) and the Broad Institute

    Boston, Massachusetts

    Key Differentiators

    • Infectious Disease
    • Genomics

  • #2

    Tampere University Hospital
    Tampere University Hospital

    Tampere, Finland

    Key Differentiators

    • Infectious Disease

  • #3

    Turku University Hospital
    Turku University Hospital

    Turku, Finland

    Key Differentiators

    • Infectious Disease

  • #4

    University of Turku
    University of Turku

    Turku, Finland

    Key Differentiators

    • Infectious Disease

  • #5

    SepsisDataNet.NRW
    SepsisDataNet.NRW

    Germany

    Key Differentiators

    • Infectious Disease

Original Source(s)

Identification and validation of novel candidate genes with diagnostic value for sepsis via weighted gene co-expression network analysis

  • by Xue Fu, Jian Yang, Qin Lv, Xiaotian Zhang, Sen Wang, Shangkun Cai, Meng Zhang

  • June 29, 2026

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