Quantification Bias
Quantification Bias is a systematic error in the measurement of protein abundance arising from methodological or technical factors that differentially affect signal detection, thereby distorting the true relative or absolute concentrations of proteins in a sample.
32
Publications
15.5K
Citations
188
Authors
93
Institutions
Publications per year
2017–2026
25
Parents
32
Salmon provides fast and bias-aware quantification of transcript expression
Rob Patro, Geet Duggal, Michael I. Love et al. · Nature Methods · 2017 · 13.7K citations · Full text
Maureen Cronin, Chithra Sangli, Mei‐Lan Liu et al. · Clinical Chemistry · 2007 · 345 citations · Full text
Valentin Vasselon, Agnès Bouchez, Frédéric Rimet et al. · Methods in Ecology and Evolution · 2017 · 152 citations · Full text
1–5 of 32
188
University of California, San Francisco, United States
1 publications · 13 citations
1
h-index
1
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1
h-index
The University of Texas MD Anderson Cancer Center, United States
1 publications · 13 citations
1
h-index
1
h-index
1–5 of 188
93

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
109 citations

Johns Hopkins University
Baltimore, United States
2 h-index
13 publications
596 citations
University of California System
Oakland, United States
2 h-index
4 publications
54 citations
Harvard University
Cambridge, United States
2 h-index
7 publications
27.5K citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
13.7K citations
Genomic Health (United States)
Redwood City, United States
1 h-index
10 publications
3.5K citations

University of Mindanao
Davao City, Philippines
1 h-index
1 publications
15 citations
International Clinical Research Center, St. Anne's University Hospital Brno
Brno, Czechia
1 h-index
2 publications
88 citations
1–8 of 93
3 publications · 118 citations
3
h-index
2 publications · 164 citations
2
h-index
2 publications · 380 citations
2
h-index
1 publications · 44 citations
1
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1 publications · 19 citations
1
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1–5