Statistical Analysis Of Differential Expression
Statistical Analysis of Differential Expression is a quantitative methodological framework in proteomics that belongs to the class of statistical inference techniques, specifically designed to identify and quantify significant changes in protein abundance across biological conditions while controlling for experimental variability and false discovery rates.
376
Publications
91.8K
Citations
1.3K
Authors
506
Institutions
Publications per year
2017–2026
49
Parents
376
1–5 of 376
1.3K
Walter and Eliza Hall Institute of Medical Research, Australia
6 publications · 47.4K citations
6
h-index
5
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5
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University of North Carolina at Chapel Hill, United States
5 publications · 2.9K citations
5
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5
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1–5 of 1.3K
506
Harvard University
Cambridge, United States
10 h-index
17 publications
1.2K citations
The University of Texas MD Anderson Cancer Center
Houston, United States
9 h-index
22 publications
1.3K citations
University of Washington
Seattle, United States
9 h-index
23 publications
3.4K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
17 publications
812 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
14 publications
7.8K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
13 publications
1.8K citations

University of Manchester
Manchester, United Kingdom
6 h-index
8 publications
586 citations

Imperial College London
London, United Kingdom
6 h-index
11 publications
294 citations
1–8 of 506
68 publications · 59.1K citations
40
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34 publications · 1.8K citations
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JPR · 18 publications · 1.8K citations
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SAGMB · 14 publications · 1.3K citations
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11 publications · 748 citations
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