Recurrent Alteration Analysis

Recurrent Alteration Analysis is a computational method in the molecular classification of tumors that identifies genomic alterations recurring across tumor samples to distinguish driver mutations from passenger events.

44

Publications

2.9K

Citations

1.6K

Authors

491

Institutions

Publications per year

2017–2026

18

Authors

1.6K

  1. NL
    Núria López-Bigas

    Universitat Pompeu Fabra, Spain

    3 publications · 1.1K citations

    3

    h-index

  2. CS
    Chris Sander

    Memorial Sloan Kettering Cancer Center, United States

    3 publications · 747 citations

    3

    h-index

  3. JR
    Jüri Reimand

    University of Toronto, Canada

    3 publications · 883 citations

    3

    h-index

  4. EH
    Ermin Hodzic

    Simon Fraser University, Canada

    4 publications · 1.4K citations

    3

    h-index

  5. AG
    Abel González-Pérez

    Universitat Pompeu Fabra, Spain

    3 publications · 1.1K citations

    3

    h-index

1–5 of 1.6K

Venues

  1. Bioinformatics

    5 publications · 171 citations

    5

    h-index

  2. Genes Chromosomes and Cancer

    2 publications · 84 citations

    2

    h-index

  3. Oncotarget

    2 publications · 53 citations

    2

    h-index

  4. Cancer Science

    2 publications · 76 citations

    2

    h-index

  5. The American Journal of Surgical Pathology

    2 publications · 78 citations

    2

    h-index

1–5