Over-representation Analysis

Over-Representation Analysis is a statistical method used in functional enrichment analysis that identifies significant over-representation of genes in a predefined gene set within a given list of differentially expressed or significant genes, as compared to what would be expected by chance.

176

Publications

14.9K

Citations

877

Authors

409

Institutions

Publications per year

2017–2026

62

Authors

877

  1. RB
    Robert Barouki

    Inserm, France

    3 publications · 110 citations

    3

    h-index

  2. XC
    Xavier Coumoul

    Inserm, France

    3 publications · 110 citations

    3

    h-index

  3. AK
    Andreas Keller

    Saarland University, Germany

    3 publications · 557 citations

    3

    h-index

  4. EM
    Eckart Meese

    Saarland University, Germany

    3 publications · 557 citations

    3

    h-index

  5. CB
    Christina Backes

    Saarland University, Germany

    3 publications · 557 citations

    3

    h-index

1–5 of 877

Venues

  1. BMC Bioinformatics

    14 publications · 1.9K citations

    13

    h-index

  2. Nucleic Acids Research

    12 publications · 3.5K citations

    12

    h-index

  3. Bioinformatics

    11 publications · 2.4K citations

    11

    h-index

  4. BMC Genomics

    7 publications · 427 citations

    7

    h-index

  5. PLoS ONE

    7 publications · 328 citations

    7

    h-index

1–5