Single-cell Co-expression Analysis

Single-Cell Co-Expression Analysis is a computational method that identifies and quantifies coordinated gene expression patterns at the resolution of individual cells, distinguishing it from bulk-level approaches by capturing cell-specific regulatory interactions within heterogeneous tissues.

64

Publications

5K

Citations

405

Authors

191

Institutions

Publications per year

2017–2026

45

Authors

405

  1. MV
    Michael Vanlandewijck

    Uppsala University, Sweden

    3 publications · 234 citations

    3

    h-index

  2. MC
    Megan Crow

    Cold Spring Harbor Laboratory, United States

    3 publications · 184 citations

    3

    h-index

  3. JG
    Jesse Gillis

    Cold Spring Harbor Laboratory, United States

    3 publications · 184 citations

    3

    h-index

  4. YW
    Yiqun Wang

    Harvard University, United States

    2 publications · 289 citations

    2

    h-index

  5. WZ
    Wei Zhang

    Atrium Health Wake Forest Baptist, United States

    2 publications · 74 citations

    2

    h-index

1–5 of 405

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 286 citations

    8

    h-index

  2. Genome biology

    3 publications · 281 citations

    3

    h-index

  3. Scientific Reports

    3 publications · 70 citations

    3

    h-index

  4. Nature Communications

    3 publications · 250 citations

    3

    h-index

  5. NAR Genomics and Bioinformatics

    2 publications · 65 citations

    2

    h-index

1–5