Candidate Pathway Analysis

Candidate Pathway Analysis is a computational methodological framework that identifies and evaluates biologically plausible pathways by integrating prior knowledge of gene function and interaction networks to assess the collective contribution of genetic variants within predefined biological pathways to a trait or disease.

129

Publications

6.8K

Citations

940

Authors

414

Institutions

Publications per year

2017–2026

42

Authors

940

  1. ML
    Martha L. Slattery

    University of Utah, United States

    5 publications · 214 citations

    5

    h-index

  2. RK
    Roger K. Wolff

    University of Utah, United States

    4 publications · 186 citations

    4

    h-index

  3. AL
    Abbie Lundgreen

    University of Utah, United States

    4 publications · 186 citations

    4

    h-index

  4. SJ
    Stephen J. Chanock

    National Cancer Institute, United States

    4 publications · 252 citations

    4

    h-index

  5. YH
    Young Ho Lee

    Korea University, South Korea

    4 publications · 66 citations

    4

    h-index

1–5 of 940

Venues

  1. Bioinformatics

    8 publications · 186 citations

    8

    h-index

  2. PLoS ONE

    7 publications · 300 citations

    7

    h-index

  3. Human Molecular Genetics

    3 publications · 474 citations

    4

    h-index

  4. BMC Bioinformatics

    3 publications · 754 citations

    4

    h-index

  5. PubMed

    Repository · 3 publications · 37 citations

    3

    h-index

1–5