Data Normalization In Genomics
Data Normalization in Genomics is a computational procedure that adjusts genomic datasets to remove technical variations and biases, thereby enabling accurate comparisons across samples and experiments by aligning data distributions while preserving biological differences.
273
Publications
36.5K
Citations
1.1K
Authors
509
Institutions
Publications per year
2017–2026
63
Parents
273
Normalization of RNA-seq data using factor analysis of control genes or samples
Davide Risso, John Ngai, Terence P. Speed et al. · Nature Biotechnology · 2014 · 2.3K citations · Full text
1–5 of 273
1.1K
Walter and Eliza Hall Institute of Medical Research, Australia
8 publications · 11.6K citations
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1–5 of 1.1K
509

Johns Hopkins University
Baltimore, United States
13 h-index
39 publications
16.7K citations
Harvard University
Cambridge, United States
12 h-index
38 publications
3.2K citations

Walter and Eliza Hall Institute of Medical Research
Melbourne, Australia
10 h-index
29 publications
12.9K citations
Dana-Farber Cancer Institute
Boston, United States
9 h-index
37 publications
2.2K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
25 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
7 h-index
25 publications
28.4K citations
National Cancer Institute
Bethesda, United States
6 h-index
12 publications
538 citations
Inserm
Paris, France
6 h-index
31 publications
743 citations
1–8 of 509
45 publications · 3.5K citations
30
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44 publications · 12.2K citations
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18 publications · 6.2K citations
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12 publications · 520 citations
12
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8 publications · 2K citations
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