Pathway Over-representation Analysis

Pathway Over-Representation Analysis is a computational method in bioinformatics that identifies statistically enriched biological pathways within a set of genes or proteins of interest by comparing their occurrence against a background distribution, thereby highlighting functional themes associated with the input dataset.

44

Publications

5K

Citations

297

Authors

164

Institutions

Publications per year

2017–2026

26

Variants

Ora

Authors

297

  1. EM
    Eckart Meese

    Saarland University, Germany

    3 publications · 557 citations

    3

    h-index

  2. CB
    Christina Backes

    Saarland University, Germany

    3 publications · 557 citations

    3

    h-index

  3. AK
    Andreas Keller

    Saarland University, Germany

    3 publications · 557 citations

    3

    h-index

  4. HL
    Hans‐Peter Lenhof

    Saarland University, Germany

    2 publications · 371 citations

    2

    h-index

  5. TM
    Timothy M. D. Ebbels

    Imperial College London, United Kingdom

    2 publications · 49 citations

    2

    h-index

1–5 of 297

Venues

  1. Bioinformatics

    8 publications · 2.1K citations

    8

    h-index

  2. BMC Genomics

    4 publications · 336 citations

    4

    h-index

  3. Scientific Reports

    4 publications · 109 citations

    4

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 78 citations

    2

    h-index

  5. BMC Systems Biology

    2 publications · 40 citations

    2

    h-index

1–5