Cross-omics Scaling

Cross-Omics Scaling is a data normalization technique that integrates measurements across multiple omics layers by adjusting their numerical ranges and distributions to ensure comparability and balance in joint downstream analyses.

1

Publications

983

Citations

34

Authors

33

Institutions

Publications per year

2017–2026

1

Authors

34

  1. EG
    Elaina Graham

    University of Southern California, United States

    1 publications · 983 citations

    1

    h-index

  2. BD
    Bryan D. Merrill

    Stanford University, United States

    1 publications · 983 citations

    1

    h-index

  3. AD
    Amy D. Willis

    University of Washington, United States

    1 publications · 983 citations

    1

    h-index

  4. FT
    Florian Trigodet

    University of Chicago, United States

    1 publications · 983 citations

    1

    h-index

  5. LM
    Loïs Maignien

    Université de Bretagne Occidentale, France

    1 publications · 983 citations

    1

    h-index

1–5 of 34

Venues

  1. Nature Microbiology

    1 publications · 983 citations

    1

    h-index

1–1