Single-cell Proteomics Integration

Single-Cell Proteomics Integration is a methodological framework within proteomics data integration that enables the unified analysis of protein expression and functional states across individual cells by reconciling high-dimensional, sparse measurements from single-cell proteomic technologies with complementary molecular data types.

29

Publications

1.9K

Citations

320

Authors

113

Institutions

Publications per year

2017–2026

26

Authors

320

  1. NA
    Nima Aghaeepour

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

  2. AS
    Amy S. Tsai

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

  3. DG
    Dyani Gaudillière

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

  4. JH
    Julien Hédou

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

  5. KK
    Kristen K. Rumer

    Stanford University, United States

    3 publications · 112 citations

    3

    h-index

1–5 of 320

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 78 citations

    4

    h-index

  2. Nature Methods

    2 publications · 55 citations

    2

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 131 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 176 citations

    2

    h-index

  5. Analytical Chemistry

    2 publications · 140 citations

    2

    h-index

1–5