Computational Pathogenicity Prediction

Computational Pathogenicity Prediction is a computational method that systematically estimates the likelihood of a genetic variant being disease-causing by integrating genomic data with evolutionary, structural, and functional annotations through algorithmic models.

225

Publications

23.6K

Citations

1.5K

Authors

614

Institutions

Publications per year

2017–2026

160

Authors

1.5K

  1. DC
    D.N. Cooper

    Cardiff University, United Kingdom

    9 publications · 2.8K citations

    9

    h-index

  2. PD
    Peter D. Stenson

    Cardiff University, United Kingdom

    6 publications · 2.2K citations

    6

    h-index

  3. XD
    Xavier de la Cruz

    Institució Catalana de Recerca i Estudis Avançats, Spain

    5 publications · 513 citations

    5

    h-index

  4. TL
    Tom Lenaerts

    Université Libre de Bruxelles, Belgium

    4 publications · 223 citations

    4

    h-index

  5. SP
    Sofia Papadimitriou

    Université Libre de Bruxelles, Belgium

    4 publications · 223 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Human Mutation

    23 publications · 5K citations

    22

    h-index

  2. Bioinformatics

    16 publications · 2.7K citations

    14

    h-index

  3. PLoS ONE

    11 publications · 1.5K citations

    11

    h-index

  4. BMC Bioinformatics

    11 publications · 407 citations

    11

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 194 citations

    8

    h-index

1–5