Subclonal Mutation Detection

Subclonal Mutation Detection is a computational method in cancer genomics that identifies mutations present in only a subset of tumor cells, distinguishing it from clonal mutation detection by resolving genetic heterogeneity within tumors at the subpopulation level.

24

Publications

3.7K

Citations

297

Authors

108

Institutions

Publications per year

2017–2026

9

Authors

297

  1. JZ
    Jianjun Zhang

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 1.3K citations

    2

    h-index

  2. TJ
    Timothy J. Ley

    Washington University in St. Louis, United States

    2 publications · 584 citations

    2

    h-index

  3. HM
    Holger Moch

    University Hospital of Zurich, Switzerland

    2 publications · 269 citations

    2

    h-index

  4. ND
    Nathan D. Dees

    Washington University in St. Louis, United States

    2 publications · 584 citations

    2

    h-index

  5. CA
    Christopher A. Miller

    Washington University in St. Louis, United States

    2 publications · 584 citations

    2

    h-index

1–5 of 297

Venues

  1. Nature Communications

    2 publications · 337 citations

    2

    h-index

  2. Genome biology

    2 publications · 411 citations

    2

    h-index

  3. Clinical Cancer Research

    2 publications · 258 citations

    2

    h-index

  4. Blood

    2 publications · 53 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 375 citations

    2

    h-index

1–5