Multi-modal Data Integration

Multi-Modal Data Integration is the systematic computational process of aligning and harmonizing diverse molecular and phenotypic data types—such as gene expression, chromatin accessibility, and protein abundance—measured on the same or matched single cells, in order to enable unified, joint analysis across modalities.

286

Publications

33.9K

Citations

1.7K

Authors

582

Institutions

Publications per year

2017–2026

219

Authors

1.7K

  1. OS
    Oliver Stegle

    European Bioinformatics Institute, United Kingdom

    6 publications · 1.5K citations

    6

    h-index

  2. TD
    Trevor Darrell

    University of California, Berkeley, United States

    5 publications · 676 citations

    5

    h-index

  3. BV
    Britta Velten

    Heidelberg University, Germany

    5 publications · 1.3K citations

    5

    h-index

  4. RA
    Ricard Argelaguet

    European Bioinformatics Institute, United Kingdom

    5 publications · 1.3K citations

    5

    h-index

  5. DA
    Damien Arnol

    European Bioinformatics Institute, United Kingdom

    5 publications · 1.3K citations

    5

    h-index

1–5 of 1.7K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 13 publications · 960 citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 286 citations

    9

    h-index

  3. Genome biology

    7 publications · 1.6K citations

    7

    h-index

  4. Bioinformatics

    6 publications · 498 citations

    6

    h-index

  5. Nature Communications

    6 publications · 276 citations

    6

    h-index

1–5