Single-cell Fusion Analysis

Single-Cell Fusion Analysis is a computational methodological framework designed to identify and characterize gene fusions at individual cell resolution within heterogeneous tumor populations, distinguishing itself from bulk-level approaches by enabling the precise attribution of fusion events to specific cellular lineages and states in the context of cancer evolution.

26

Publications

1.3K

Citations

145

Authors

53

Institutions

Publications per year

2017–2026

6

Authors

145

  1. BM
    Brenda M. Ogle

    University of Wisconsin–Madison, United States

    2 publications · 46 citations

    2

    h-index

  2. BT
    Brian T. Freeman

    University of Wisconsin–Madison, United States

    2 publications · 46 citations

    2

    h-index

  3. GS
    G. Sullivan Read

    University of Missouri–Kansas City, United States

    2 publications · 95 citations

    2

    h-index

  4. LM
    Lisa M. Coussens

    Oregon Health & Science University, United States

    1 publications · 338 citations

    1

    h-index

  5. SJ
    Sarah J. Borengasser

    University of Arkansas for Medical Sciences, United States

    1 publications · 48 citations

    1

    h-index

1–5 of 145

Venues

  1. Journal of Virological Methods

    2 publications · 39 citations

    2

    h-index

  2. Journal of Virology

    JVI · 2 publications · 95 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 38 citations

    2

    h-index

  4. Experimental Cell Research

    ECR · 2 publications · 84 citations

    2

    h-index

  5. Nature Communications

    1 publications · 36 citations

    1

    h-index

1–5