Technical Variation Correction
Technical Variation Correction is a methodological approach in data preprocessing that specifically addresses and removes unwanted variations introduced by technical factors—such as batch effects, measurement instruments, or experimental conditions—while preserving biological or meaningful biological signals in high-throughput experimental data.
90
Publications
17.9K
Citations
492
Authors
245
Institutions
Publications per year
2017–2026
43
Parents
90
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
1–5 of 90
492
4
h-index
4
h-index
3
h-index
Moderna Therapeutics (United States), United States
2 publications · 438 citations
2
h-index
2
h-index
1–5 of 492
245
Harvard University
Cambridge, United States
6 h-index
13 publications
708 citations
Dana-Farber Cancer Institute
Boston, United States
5 h-index
13 publications
1.1K citations
Stanford University
Stanford, United States
5 h-index
15 publications
17K citations

McGill University
Montreal, Canada
4 h-index
14 publications
2.6K citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
5 publications
343 citations
KU Leuven
Leuven, Belgium
4 h-index
10 publications
613 citations

Johns Hopkins University
Baltimore, United States
4 h-index
10 publications
3.4K citations

University of Toronto
Toronto, Canada
4 h-index
5 publications
1.2K citations
1–8 of 245
Repository · 9 publications · 493 citations
9
h-index
7 publications · 4.5K citations
7
h-index
7 publications · 373 citations
7
h-index
6 publications · 282 citations
6
h-index
4 publications · 228 citations
4
h-index
1–5