Transcriptomic Disease Modeling

Transcriptomic Disease Modeling is a computational or analytical framework that, as a specialized approach within molecular disease modeling, uniquely integrates high-throughput transcriptomic data to reconstruct, simulate, or infer disease-associated gene expression dynamics and regulatory aberrations underlying pathological mechanisms.

8

Publications

589

Citations

82

Authors

31

Institutions

Publications per year

2017–2026

5

Authors

82

  1. TV
    Tejaswi V. S. Badam

    Linköping University, Sweden

    1 publications · 26 citations

    1

    h-index

  2. RI
    Ravi Iyengar

    Icahn School of Medicine at Mount Sinai, United States

    1 publications · 30 citations

    1

    h-index

  3. NB
    Nirmal Bhagabati

    World Wildlife Fund, United States

    1 publications · 49 citations

    1

    h-index

  4. PA
    Peter A. Merkel

    University of Pennsylvania, United States

    1 publications · 139 citations

    1

    h-index

  5. ML
    Matthew Li

    Massachusetts General Hospital, United States

    1 publications · 82 citations

    1

    h-index

1–5 of 82

Venues

  1. BMC Bioinformatics

    1 publications · 20 citations

    1

    h-index

  2. Nature Genetics

    1 publications · 49 citations

    1

    h-index

  3. European Journal of Pharmacology

    EJP · 1 publications · 82 citations

    1

    h-index

  4. International Journal of Molecular Sciences

    IJMS · 1 publications · 33 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 26 citations

    1

    h-index

1–5