Single-cell Integration

Single-Cell Integration is a computational data-integration strategy that combines heterogeneous single-cell genomic and other omic profiles from multiple microbes, samples, or experimental platforms into a harmonized representation that corrects for technical variation and enables joint inference of community structure and function at single-cell resolution.

338

Publications

93.7K

Citations

2.6K

Authors

715

Institutions

Publications per year

2017–2026

277

Authors

2.6K

  1. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    14 publications · 3.5K citations

    14

    h-index

  2. ML
    Mohammad Lotfollahi

    Helmholtz Zentrum München, Germany

    12 publications · 2K citations

    12

    h-index

  3. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    12 publications · 1.7K citations

    12

    h-index

  4. JY
    Jean Yang

    The University of Sydney, Australia

    8 publications · 663 citations

    8

    h-index

  5. SG
    Shila Ghazanfar

    The University of Sydney, Australia

    8 publications · 798 citations

    8

    h-index

1–5 of 2.6K

Venues

  1. Nature Communications

    31 publications · 3.8K citations

    26

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 31 publications · 2.9K citations

    25

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 52 publications · 3.3K citations

    24

    h-index

  4. Genome biology

    18 publications · 3.1K citations

    17

    h-index

  5. Nature Biotechnology

    14 publications · 18.1K citations

    14

    h-index

1–5