Assay Data Quality Control
Assay Data Quality Control is a methodological framework within the domain of mineral resource evaluation that ensures the accuracy, precision, and reliability of geochemical assay data by systematically identifying and minimizing analytical errors, contamination, and sampling biases throughout the assaying process.
63
Publications
5.5K
Citations
333
Authors
150
Institutions
Publications per year
2017–2026
13
Parents
63
Statistical analysis of real-time PCR data
Joshua S. Yuan, Ann M. Reed, Feng Chen et al. · BMC Bioinformatics · 2006 · 2.2K citations · Full text
Michael H. A. Roehrl, Julia Y. Wang, Gerhard Wagner · Biochemistry · 2004 · 273 citations
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150
Novartis (Switzerland)
Basel, Switzerland
3 h-index
15 publications
801 citations

The Open University
Milton Keynes, United Kingdom
2 h-index
4 publications
80 citations
Kaneka (United States)
Pasadena, United States
2 h-index
2 publications
58 citations
United States Geological Survey
Reston, United States
2 h-index
6 publications
75 citations
University of Tennessee at Knoxville
Knoxville, United States
2 h-index
8 publications
9.2K citations
Novartis Institutes for BioMedical Research
Basel, Switzerland
2 h-index
12 publications
672 citations

Chinese Academy of Medical Sciences & Peking Union Medical College
Beijing, China
2 h-index
6 publications
313 citations
United States Food and Drug Administration
Silver Spring, United States
2 h-index
10 publications
216 citations
1–8 of 150
4 publications · 94 citations
4
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4 publications · 129 citations
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3 publications · 241 citations
3
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3 publications · 2.3K citations
3
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2 publications · 128 citations
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1–5