Remove Unwanted Variation
Remove Unwanted Variation is a computational method designed to adjust high-dimensional biological data by separating biologically meaningful signals from technical artifacts, batch effects, and other non-biological sources of variation while preserving the underlying biological heterogeneity of interest.
88
Publications
37.2K
Citations
386
Authors
217
Institutions
Publications per year
2017–2026
42
Parents
88
Face recognition using Laplacianfaces
Xiaofei He, Shuicheng Yan, Yuxiao Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 3.3K citations
1–5 of 88
386
Walter and Eliza Hall Institute of Medical Research, Australia
14 publications · 1.8K citations
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3
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3
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1–5 of 386
217

The University of Melbourne
Melbourne, Australia
14 h-index
39 publications
4.5K citations

Walter and Eliza Hall Institute of Medical Research
Melbourne, Australia
12 h-index
22 publications
2.4K citations
University of California, Berkeley
Berkeley, United States
8 h-index
22 publications
2.3K citations

Johns Hopkins University
Baltimore, United States
7 h-index
20 publications
37K citations
Harvard University
Cambridge, United States
5 h-index
10 publications
465 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
23 publications
4.1K citations
Dana-Farber Cancer Institute
Boston, United States
4 h-index
11 publications
961 citations
University of Chicago
Chicago, United States
4 h-index
7 publications
6.8K citations
1–8 of 217
9 publications · 1K citations
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Repository · 6 publications · 173 citations
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6 publications · 9.9K citations
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5 publications · 618 citations
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4 publications · 795 citations
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