Driver Mutation Identification

Driver Mutation Identification is a computational biology methodology that distinguishes somatic mutations conferring a selective growth advantage to cancer cells (driver mutations) from functionally neutral alterations (passenger mutations) by integrating genomic data with evolutionary and functional impact analyses.

313

Publications

39.7K

Citations

4.4K

Authors

1K

Institutions

Publications per year

2017–2026

185

Authors

4.4K

  1. GB
    Gordon B. Mills

    The University of Texas MD Anderson Cancer Center, United States

    7 publications · 1.5K citations

    7

    h-index

  2. GG
    Gad Getz

    Broad Institute, United States

    8 publications · 10.5K citations

    7

    h-index

  3. AG
    Abel González-Pérez

    Universitat Pompeu Fabra, Spain

    7 publications · 4.8K citations

    7

    h-index

  4. MS
    Michael S. Lawrence

    Broad Institute, United States

    11 publications · 10.6K citations

    7

    h-index

  5. NL
    Núria López-Bigas

    Universitat Pompeu Fabra, Spain

    7 publications · 4.8K citations

    7

    h-index

1–5 of 4.4K

Venues

  1. Bioinformatics

    15 publications · 1.8K citations

    14

    h-index

  2. Scientific Reports

    16 publications · 1.1K citations

    14

    h-index

  3. Nucleic Acids Research

    13 publications · 1.2K citations

    13

    h-index

  4. Oncotarget

    12 publications · 396 citations

    12

    h-index

  5. BMC Bioinformatics

    12 publications · 446 citations

    11

    h-index

1–5