Single-cell Somatic Mutation Detection

Single-Cell Somatic Mutation Detection is a computational method designed to identify acquired genetic alterations in individual cells by distinguishing true somatic variants from technical artifacts inherent in single-cell sequencing data.

34

Publications

5.2K

Citations

322

Authors

157

Institutions

Publications per year

2017–2026

20

Authors

322

  1. CA
    Christopher A. Walsh

    Harvard University, United States

    8 publications · 2.3K citations

    8

    h-index

  2. PJ
    Peter J. Park

    Harvard University, United States

    8 publications · 2.2K citations

    8

    h-index

  3. MA
    Michael A. Lodato

    Harvard University, United States

    6 publications · 1.6K citations

    6

    h-index

  4. LJ
    Lovelace J. Luquette

    Harvard University, United States

    6 publications · 1.6K citations

    6

    h-index

  5. CL
    Craig L. Bohrson

    Harvard University, United States

    4 publications · 796 citations

    4

    h-index

1–5 of 322

Venues

  1. Nature

    4 publications · 1.6K citations

    4

    h-index

  2. Science

    3 publications · 1.3K citations

    3

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 51 citations

    3

    h-index

  4. Genome biology

    2 publications · 62 citations

    2

    h-index

  5. Nature Genetics

    2 publications · 230 citations

    2

    h-index

1–5