Driver Mutation Discovery

Driver Mutation Discovery is a computational and statistical methodology in cancer genomics that identifies somatic mutations conferring a selective growth advantage to cancer cells by distinguishing them from functionally neutral passenger mutations.

420

Publications

52K

Citations

4.9K

Authors

1.2K

Institutions

Publications per year

2017–2026

219

Authors

4.9K

  1. NL
    Núria López-Bigas

    Universitat Pompeu Fabra, Spain

    14 publications · 6K citations

    13

    h-index

  2. AG
    Abel González-Pérez

    Universitat Pompeu Fabra, Spain

    15 publications · 6.3K citations

    13

    h-index

  3. GG
    Gad Getz

    Broad Institute, United States

    14 publications · 9.7K citations

    11

    h-index

  4. MS
    Michael S. Lawrence

    Broad Institute, United States

    14 publications · 9.3K citations

    10

    h-index

  5. DT
    David Tamborero

    Universitat de Barcelona, Spain

    10 publications · 5.4K citations

    10

    h-index

1–5 of 4.9K

Venues

  1. Bioinformatics

    22 publications · 1.9K citations

    18

    h-index

  2. Nature Communications

    19 publications · 1.6K citations

    17

    h-index

  3. Nucleic Acids Research

    17 publications · 1.5K citations

    16

    h-index

  4. Scientific Reports

    18 publications · 1.4K citations

    15

    h-index

  5. BMC Bioinformatics

    19 publications · 699 citations

    14

    h-index

1–5