Biomarker Variability Modeling

Biomarker Variability Modeling is a computational framework that characterizes the sources and magnitude of fluctuations in biomarker measurements across biological, technical, and temporal dimensions to distinguish meaningful biological variation from noise in biomedical data analysis.

21

Publications

744

Citations

136

Authors

60

Institutions

Publications per year

2017–2026

7

Authors

136

  1. TK
    Thomas K. Karikari

    University of Gothenburg, Sweden

    2 publications · 221 citations

    2

    h-index

  2. NJ
    Nicholas J. Ashton

    University of Gothenburg, Sweden

    2 publications · 221 citations

    2

    h-index

  3. HZ
    Henrik Zetterberg

    University of Gothenburg, Sweden

    2 publications · 221 citations

    2

    h-index

  4. AL
    Andréa Lessa Benedet

    McGill University, Canada

    2 publications · 221 citations

    2

    h-index

  5. KB
    Kaj Blennow

    University of Gothenburg, Sweden

    2 publications · 221 citations

    2

    h-index

1–5 of 136

Venues

  1. PLoS ONE

    4 publications · 136 citations

    4

    h-index

  2. PubMed

    Repository · 3 publications · 67 citations

    3

    h-index

  3. Toxicology Letters

    2 publications · 30 citations

    2

    h-index

  4. Neuroscience Letters

    1 publications · 38 citations

    1

    h-index

  5. Statistics in Medicine

    1 publications · 16 citations

    1

    h-index

1–5