Cross-modal Data Integration

Cross-Modal Data Integration is a computational framework that enables the joint analysis of distinct but related molecular omics layers—such as transcriptomic, epigenomic, and proteomic data—from the same single cells—by mapping and aligning complementary biological signals across modalities to infer coherent cellular states and regulatory interactions.

40

Publications

3.2K

Citations

184

Authors

107

Institutions

Publications per year

2017–2026

36

Authors

184

  1. EH
    Elyas Heidari

    SIB Swiss Institute of Bioinformatics, Switzerland

    2 publications · 218 citations

    2

    h-index

  2. MT
    Marcella Toth

    Helmholtz Zentrum München, Germany

    2 publications · 218 citations

    2

    h-index

  3. OS
    Oliver Stegle

    European Bioinformatics Institute, United Kingdom

    2 publications · 218 citations

    2

    h-index

  4. HV
    Harald Vöhringer

    European Bioinformatics Institute, United Kingdom

    2 publications · 218 citations

    2

    h-index

  5. KA
    Kevin A. Yamauchi

    Chan Zuckerberg Initiative (United States), United States

    2 publications · 218 citations

    2

    h-index

1–5 of 184

Venues

  1. Nature Communications

    2 publications · 189 citations

    3

    h-index

  2. Nature Biotechnology

    2 publications · 705 citations

    2

    h-index

  3. IEEE Transactions on Multimedia

    1 publications · 34 citations

    2

    h-index

  4. Genome biology

    2 publications · 92 citations

    2

    h-index

  5. Computers in Biology and Medicine

    2 publications · 131 citations

    2

    h-index

1–5