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
Parents
21
1–5 of 21
136
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60
Emory University
Atlanta, United States
3 h-index
7 publications
100 citations
University College London
London, United Kingdom
2 h-index
2 publications
221 citations
UK Dementia Research Institute
London, United Kingdom
2 h-index
2 publications
221 citations

Washington University in St. Louis
St Louis, United States
2 h-index
6 publications
203 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
2 publications
221 citations

McGill University
Montreal, Canada
2 h-index
2 publications
221 citations
Boston University
Boston, United States
2 h-index
12 publications
256 citations

Centre for Mental Health
London, United Kingdom
2 h-index
2 publications
221 citations
1–8 of 60
4 publications · 136 citations
4
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Repository · 3 publications · 67 citations
3
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2 publications · 30 citations
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1 publications · 38 citations
1
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1 publications · 16 citations
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