Statistical Hit Selection
Statistical Hit Selection is a methodological framework in high-throughput screening that identifies compounds or entities exhibiting significant biological activity by applying statistical criteria to distinguish true effects from random variation.
16
Publications
1.1K
Citations
66
Authors
32
Institutions
Publications per year
2017–2026
1
Parents
16
Improved Statistical Methods for Hit Selection in High-Throughput Screening
Christine Brideau, Bert Gunter, Bill Pikounis et al. · SLAS DISCOVERY · 2003 · 341 citations · Full text
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National Center for Advancing Translational Sciences, United States
3 publications · 240 citations
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Merck & Co., Inc., Rahway, NJ, USA (United States), United States
2 publications · 137 citations
2
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Merck & Co., Inc., Rahway, NJ, USA (United States), United States
2 publications · 204 citations
2
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1–5 of 66
32
United States Military Academy
West Point, United States
5 h-index
12 publications
924 citations
Merck & Co., Inc., Rahway, NJ, USA (United States)
Rahway, United States
3 h-index
14 publications
969 citations
Environmental Protection Agency
Washington, United States
1 h-index
4 publications
80 citations
Pfizer (United States)
New York, United States
1 h-index
1 publications
34 citations

St. Jude Children's Research Hospital
Memphis, United States
1 h-index
3 publications
51 citations
Zimmer Biomet (Netherlands)
Dordrecht, Netherlands
1 h-index
1 publications
101 citations
Oak Ridge Associated Universities
Oak Ridge, United States
1 h-index
1 publications
20 citations
Genomics Institute of the Novartis Research Foundation
San Diego, United States
1 h-index
4 publications
144 citations
1–8 of 32
6 publications · 789 citations
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1 publications · 19 citations
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1 publications · 17 citations
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1 publications · 34 citations
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Book series · 1 publications · 23 citations
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