Multi-view Data Alignment

Multi-View Data Alignment is a computational methodology in multi-omics data preprocessing that integrates heterogeneous data views by identifying and establishing correspondence across shared biological entities while preserving view-specific structures.

13

Publications

1.2K

Citations

76

Authors

41

Institutions

Publications per year

2017–2026

11

Authors

76

  1. OS
    Oliver Stegle

    European Bioinformatics Institute, United Kingdom

    2 publications · 218 citations

    2

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  2. MT
    Marcella Toth

    Helmholtz Zentrum München, Germany

    2 publications · 218 citations

    2

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  3. EH
    Elyas Heidari

    SIB Swiss Institute of Bioinformatics, Switzerland

    2 publications · 218 citations

    2

    h-index

  4. LM
    Luca Marconato

    Wellcome Sanger Institute, United Kingdom

    2 publications · 218 citations

    2

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  5. KA
    Kevin A. Yamauchi

    Chan Zuckerberg Initiative (United States), United States

    2 publications · 218 citations

    2

    h-index

1–5 of 76

Venues

  1. 3

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  2. 2021 IEEE International Conference on Big Data (Big Data)

    Conference · 1 publications · 49 citations

    1

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  3. Computer Vision and Image Understanding

    CVIU · 1 publications · 13 citations

    1

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  4. 1

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  5. Nature Methods

    1 publications · 186 citations

    1

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1–5