Unsupervised Cell Clustering

Unsupervised Cell Clustering is a computational approach in single-cell data analysis that partitions cells into groups based on intrinsic transcriptional similarities without relying on pre-defined labels or external annotations.

184

Publications

11.1K

Citations

1.3K

Authors

476

Institutions

Publications per year

2017–2026

134

Authors

1.3K

  1. TD
    Timothy Daley

    Stanford University, United States

    3 publications · 183 citations

    3

    h-index

  2. WH
    Wing Hung Wong

    Stanford University, United States

    3 publications · 183 citations

    3

    h-index

  3. ZL
    Zhixiang Lin

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 183 citations

    3

    h-index

  4. MZ
    Mahdi Zamanighomi

    Stanford University, United States

    3 publications · 183 citations

    3

    h-index

  5. SD
    Sergii Domanskyi

    Michigan State University, United States

    2 publications · 48 citations

    2

    h-index

1–5 of 1.3K

Venues

  1. Frontiers in Immunology

    11 publications · 273 citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 12 publications · 295 citations

    10

    h-index

  3. Bioinformatics

    6 publications · 458 citations

    7

    h-index

  4. Cytometry Part A

    6 publications · 607 citations

    6

    h-index

  5. Nature Communications

    4 publications · 294 citations

    5

    h-index

1–5