Integration Of Multiple Datasets

Integration of Multiple Datasets is a computational methodology in single-cell RNA sequencing analysis that enables the joint analysis of distinct datasets by correcting batch effects and aligning biological states across experiments while preserving biological variability.

720

Publications

105.7K

Citations

5.3K

Authors

1.6K

Institutions

Publications per year

2017–2026

488

Authors

5.3K

  1. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    7 publications · 1.3K citations

    7

    h-index

  2. VD
    Vince D. Calhoun

    Mind Research Network, United States

    7 publications · 490 citations

    7

    h-index

  3. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    7 publications · 1.7K citations

    7

    h-index

  4. JY
    Jean Yang

    The University of Sydney, Australia

    6 publications · 676 citations

    6

    h-index

  5. KH
    Kun Huang

    The Ohio State University, United States

    5 publications · 287 citations

    5

    h-index

1–5 of 5.3K

Venues

  1. Bioinformatics

    49 publications · 16.4K citations

    31

    h-index

  2. Nucleic Acids Research

    28 publications · 4.5K citations

    26

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 50 publications · 3.4K citations

    24

    h-index

  4. Nature Communications

    24 publications · 2.6K citations

    22

    h-index

  5. Genome biology

    22 publications · 2.5K citations

    20

    h-index

1–5