Technical Variation Analysis
Technical Variation Analysis is a methodological framework in single-cell proteomics that systematically identifies, quantifies, and distinguishes experimental artifacts and measurement noise from biological signals to ensure data reliability and reproducibility.
184
Publications
32.6K
Citations
1.1K
Authors
479
Institutions
Publications per year
2017–2026
72
Parents
184
A novel and universal method for microRNA RT-qPCR data normalization
Pieter Mestdagh, Pieter Van Vlierberghe, An De Weer et al. · Genome biology · 2009 · 1K citations · Full text
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479
Harvard University
Cambridge, United States
9 h-index
23 publications
3.5K citations
Dana-Farber Cancer Institute
Boston, United States
7 h-index
20 publications
3.7K citations

University of Edinburgh
Edinburgh, United Kingdom
5 h-index
10 publications
403 citations

University of Toronto
Toronto, Canada
5 h-index
8 publications
1.3K citations
University of Washington
Seattle, United States
5 h-index
8 publications
418 citations

The University of Melbourne
Melbourne, Australia
5 h-index
12 publications
18.5K citations

Johns Hopkins University
Baltimore, United States
5 h-index
15 publications
3.5K citations

Ghent University
Ghent, Belgium
5 h-index
39 publications
4.2K citations
1–8 of 479
11 publications · 1.4K citations
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Repository · 12 publications · 382 citations
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9 publications · 777 citations
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8 publications · 327 citations
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8 publications · 860 citations
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