Single-cell Data Harmonization

Single-Cell Data Harmonization is a computational framework designed to integrate and remove technical variability across single-cell omics datasets while preserving biological heterogeneity, enabling consistent comparative analysis across diverse experimental conditions or batches.

54

Publications

22.6K

Citations

714

Authors

170

Institutions

Publications per year

2017–2026

50

Authors

714

  1. SP
    Stefan Peidli

    Charité - Universitätsmedizin Berlin, Germany

    4 publications · 222 citations

    4

    h-index

  2. JS
    Julio Sáez-Rodríguez

    Heidelberg University, Germany

    4 publications · 1.4K citations

    4

    h-index

  3. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    3 publications · 424 citations

    3

    h-index

  4. AV
    Alberto Valdeolivas

    Heidelberg University, Germany

    3 publications · 994 citations

    3

    h-index

  5. CS
    Chris Sander

    Memorial Sloan Kettering Cancer Center, United States

    3 publications · 210 citations

    3

    h-index

1–5 of 714

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 11 publications · 1.8K citations

    11

    h-index

  2. Nucleic Acids Research

    10 publications · 1.2K citations

    10

    h-index

  3. Nature Methods

    3 publications · 10.7K citations

    3

    h-index

  4. Nature Communications

    3 publications · 825 citations

    3

    h-index

  5. Frontiers in Immunology

    2 publications · 52 citations

    2

    h-index

1–5