Single-cell Pathway Analysis

Single-Cell Pathway Analysis is a computational statistical method in network biology that infers differential activity of molecular pathways at single-cell resolution by assessing changes in the multivariate joint expression patterns of genes within predefined pathways across individual cells or conditions.

52

Publications

4.4K

Citations

402

Authors

171

Institutions

Publications per year

2017–2026

34

Authors

402

  1. AC
    Alessandra Cesano

    The Wistar Institute, United States

    5 publications · 170 citations

    5

    h-index

  2. SP
    Santosh Putta

    Nodality (United States), United States

    4 publications · 156 citations

    4

    h-index

  3. DB
    David B. Rosen

    University of California, San Francisco, United States

    3 publications · 110 citations

    3

    h-index

  4. UG
    Urte Gayko

    Amgen (United States), United States

    3 publications · 110 citations

    3

    h-index

  5. BL
    Brent Louie

    Nodality (United States), United States

    3 publications · 78 citations

    3

    h-index

1–5 of 402

Venues

  1. Nature Communications

    2 publications · 128 citations

    2

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 40 citations

    2

    h-index

  3. PLoS Computational Biology

    2 publications · 38 citations

    2

    h-index

  4. Methods in molecular biology

    Book series · 2 publications · 67 citations

    2

    h-index

  5. Scientific Reports

    2 publications · 36 citations

    2

    h-index

1–5