Comparative Enrichment Analysis

Comparative Enrichment Analysis is a computational approach within functional enrichment analysis that systematically identifies and quantifies differences in enriched biological functions, pathways, or annotations across distinct experimental conditions, datasets, or biological states by contrasting their respective enrichment profiles.

54

Publications

44.2K

Citations

346

Authors

147

Institutions

Publications per year

2017–2026

30

Authors

346

  1. ÁS
    Álex Sánchez‐Pla

    Universitat de Barcelona, Spain

    2 publications · 272 citations

    2

    h-index

  2. PR
    Peter R. Boag

    Monash University, Australia

    2 publications · 301 citations

    2

    h-index

  3. AC
    Anne C. Hart

    Harvard University, United States

    2 publications · 301 citations

    2

    h-index

  4. AK
    Amy K. Walker

    Harvard University, United States

    2 publications · 301 citations

    2

    h-index

  5. AJ
    Albertha J.M. Walhout

    University of Massachusetts Chan Medical School, United States

    2 publications · 301 citations

    2

    h-index

1–5 of 346

Venues

  1. BMC Bioinformatics

    6 publications · 515 citations

    6

    h-index

  2. Nucleic Acids Research

    5 publications · 3.5K citations

    5

    h-index

  3. PLoS ONE

    5 publications · 140 citations

    5

    h-index

  4. BMC Genomics

    2 publications · 49 citations

    2

    h-index

  5. Bioinformatics

    2 publications · 235 citations

    2

    h-index

1–5