Data Integration Preprocessing

Data Integration Preprocessing is a methodological framework within multi-omics data preprocessing that specifically addresses the harmonization, alignment, and transformation of heterogeneous omics datasets to enable coherent downstream integrative analysis.

35

Publications

4.1K

Citations

235

Authors

150

Institutions

Publications per year

2017–2026

19

Authors

235

  1. ML
    Michael Lawrence

    Fred Hutch Cancer Center, United States

    1 publications · 21 citations

    1

    h-index

  2. TG
    Thierry Guérin

    Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail, France

    1 publications · 33 citations

    1

    h-index

  3. GJ
    Guoqian Jiang

    Mayo Clinic in Florida, United States

    1 publications · 28 citations

    1

    h-index

  4. BØ
    Bernhard Ø. Palsson

    University of California San Diego, United States

    1 publications · 188 citations

    1

    h-index

  5. HO
    Herbert Oberacher

    Innsbruck Medical University, Austria

    1 publications · 33 citations

    1

    h-index

1–5 of 235

Venues

  1. Methods in molecular biology

    Book series · 4 publications · 149 citations

    4

    h-index

  2. Computer Methods and Programs in Biomedicine

    2 publications · 107 citations

    2

    h-index

  3. Industrial Management & Data Systems

    1 publications · 18 citations

    1

    h-index

  4. Nature Chemical Biology

    1 publications · 188 citations

    1

    h-index

  5. Journal of Signal Processing Systems

    1 publications · 45 citations

    1

    h-index

1–5