Patterns of time since last meal revealed by sparse PCA in an observational LC-MS based metabolomics study
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sparse PCA overcomes the limitation of PCA in identifying the most prominent part of the pattern.
“Sparse PCA overcomes this limitation (128, 129).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [129]
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References 30 · Cited by 8
- Authors
- Gürdeniz, G., Hansen, L., Rasmussen, M. A., Acar, E., Olsen, A., Christensen, J., Barri, T., Tjønneland, A., & Dragsted, L. O.
- Affiliations
- University of Copenhagen (DK)
- Danish Cancer Society (DK)
- Corresponding author
- Gürdeniz, Gözde
- ORCID
- Venue
- Metabolomics
- Published
- 2013-03-29
- Volume
- 9
- Issue
- 5
- Pages
- 1073-1081
- ISSN
- 1573-3882 (ISSN-L)
- 1573-3890
- OpenAlex
- W1966548225
- Cited by
- 8
- References
- 30
- Citations by year
- 2019: 1 · 2018: 1 · 2016: 1 · 2015: 1 · 2014: 3 · 2013: 1
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Metabolomics (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- Strategic Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Keywords
- sparse principal component analysis, metabolite selection, plasma metabolomics, amino acids, feature selection, pattern recognition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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