Quantile Normalization
Quantile Normalization is a statistical preprocessing technique used in omics data analysis that belongs to the class of normalization methods, distinguished by its approach of making the distribution of intensities across samples identical by forcing the quantiles of each sample’s intensity distribution to be equal.
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18.3K
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769
Authors
426
Institutions
Publications per year
2017–2026
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Harvard University
Cambridge, United States
10 h-index
18 publications
1.2K citations
Dana-Farber Cancer Institute
Boston, United States
7 h-index
15 publications
1.2K citations
National University of Singapore
Singapore, Singapore
7 h-index
11 publications
509 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
148 citations

Johns Hopkins University
Baltimore, United States
4 h-index
9 publications
1.5K citations

Central South University
Changsha, China
3 h-index
18 publications
384 citations
Pusan National University
Busan, South Korea
3 h-index
3 publications
138 citations
University of California, Berkeley
Berkeley, United States
3 h-index
10 publications
7.3K citations
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14 publications · 2.8K citations
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CSDA · 11 publications · 366 citations
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9 publications · 2.4K citations
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