Single-cell Data Preprocessing

Single-Cell Data Preprocessing is a computational methodology that constitutes the initial step in single-cell data analysis, distinguished by its focus on transforming raw, high-dimensional single-cell measurements into cleaned, normalized, and quality-controlled inputs suitable for downstream clustering and interpretation.

293

Publications

79.8K

Citations

1.4K

Authors

509

Institutions

Publications per year

2017–2026

251

Authors

1.4K

  1. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    15 publications · 2.2K citations

    12

    h-index

  2. NY
    Nir Yosef

    University of California, Berkeley, United States

    5 publications · 444 citations

    5

    h-index

  3. LD
    Leander Dony

    Helmholtz Zentrum München, Germany

    5 publications · 162 citations

    5

    h-index

  4. MB
    Mojtaba Bahrami

    Helmholtz Zentrum München, Germany

    5 publications · 171 citations

    5

    h-index

  5. QL
    Qi Liu

    Tongji University, China

    4 publications · 97 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 36 publications · 1.1K citations

    20

    h-index

  2. Bioinformatics

    19 publications · 3.5K citations

    16

    h-index

  3. PLoS Computational Biology

    15 publications · 1.3K citations

    14

    h-index

  4. Nature Biotechnology

    13 publications · 27.4K citations

    13

    h-index

  5. Nature Methods

    14 publications · 12.8K citations

    13

    h-index

1–5