Pathway Score Interpretation

Pathway Score Interpretation is a methodological framework within computational biology that enables the systematic translation of quantitative pathway activity scores into biologically meaningful insights by establishing context-specific significance, regulatory implications, and phenotypic associations.

15

Publications

689

Citations

106

Authors

64

Institutions

Publications per year

2017–2026

8

Authors

106

  1. KL
    Kenneth Langlands

    University of Buckingham, United Kingdom

    2 publications · 65 citations

    2

    h-index

  2. SJ
    Sabah Jassim

    University of Buckingham, United Kingdom

    2 publications · 65 citations

    2

    h-index

  3. MI
    M Ibrahim

    University of Oxford, United Kingdom

    2 publications · 65 citations

    2

    h-index

  4. MA
    Michael A. Cawthorne

    University of Buckingham, United Kingdom

    2 publications · 65 citations

    2

    h-index

  5. MM
    Mateusz Maciejewski

    Pfizer (United States), United States

    1 publications · 29 citations

    1

    h-index

1–5 of 106

Venues

  1. BMC Bioinformatics

    3 publications · 97 citations

    3

    h-index

  2. Lymphatic Research and Biology

    1 publications · 29 citations

    1

    h-index

  3. Methods in molecular biology

    Book series · 1 publications · 38 citations

    1

    h-index

  4. PLoS Computational Biology

    1 publications · 29 citations

    1

    h-index

  5. Antioxidants

    1 publications · 25 citations

    1

    h-index

1–5