Data Normalization In Metabolite Profiling
Data Normalization in Metabolite Profiling is a computational preprocessing step that adjusts metabolomics data to correct for systematic variations and technical biases, thereby enabling biologically meaningful comparisons across samples by scaling measurements to a common reference framework.
111
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12.5K
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658
Authors
281
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2017–2026
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Frank Dieterle, Alfred Ross, Götz Schlotterbeck et al. · Analytical Chemistry · 2006 · 1.8K citations
NOREVA: normalization and evaluation of MS-based metabolomics data
Bo Li, Jing Tang, Qingxia Yang et al. · Nucleic Acids Research · 2017 · 362 citations · Full text
Life Sciences, Biochemistry, Mass Spectrometric Analysis +16
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Walter and Eliza Hall Institute of Medical Research, Australia
3 publications · 469 citations
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The University of Melbourne
Melbourne, Australia
5 h-index
16 publications
2.5K citations

Imperial College London
London, United Kingdom
5 h-index
21 publications
3.8K citations
University of Regensburg
Regensburg, Germany
5 h-index
36 publications
2.6K citations

Universidad San Pablo CEU
Madrid, Spain
3 h-index
15 publications
957 citations

Walter and Eliza Hall Institute of Medical Research
Melbourne, Australia
3 h-index
3 publications
469 citations

University of Alberta
Edmonton, Canada
3 h-index
6 publications
280 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
337 citations

Helmholtz Zentrum München
Munich, Germany
3 h-index
21 publications
834 citations
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7 publications · 509 citations
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