Cell Composition Analysis

Cell Composition Analysis is a computational method that identifies and quantifies the proportions of distinct cell types within a heterogeneous tissue sample from single-cell RNA sequencing data, differentiating itself by focusing on the characterization of cellular heterogeneity rather than gene expression dynamics or cell trajectory inference.

340

Publications

24.4K

Citations

2.2K

Authors

757

Institutions

Publications per year

2017–2026

141

Authors

2.2K

  1. KT
    Karl T. Kelsey

    Brown University, United States

    6 publications · 1.1K citations

    6

    h-index

  2. JK
    John K. Wiencke

    University of California, San Francisco, United States

    4 publications · 844 citations

    4

    h-index

  3. EA
    E. Andrés Houseman

    Harvard University, United States

    4 publications · 442 citations

    4

    h-index

  4. JE
    Joseph E. Powell

    The University of Queensland, Australia

    3 publications · 418 citations

    3

    h-index

  5. MS
    M Snyder

    Stanford University, United States

    3 publications · 363 citations

    3

    h-index

1–5 of 2.2K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 29 publications · 2.3K citations

    21

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 13 publications · 345 citations

    12

    h-index

  3. PubMed

    Repository · 13 publications · 415 citations

    11

    h-index

  4. PLoS ONE

    13 publications · 613 citations

    11

    h-index

  5. Frontiers in Immunology

    8 publications · 410 citations

    8

    h-index

1–5