The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Assessing the statistical validity of proteomics based biomarkers
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Citations
Cites
Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236
Marked elevation of plasma chitotriosidase activity. A novel hallmark of Gaucher disease.
Hollak, C. E., van Weely, S., van Oers, M. H., & Aerts, J. M. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117084 · Cited by 896
Self-citation
Cited by
MissForest—Non-parametric missing value imputation for mixed-type data
Stekhoven, D. J., & Bühlmann, P. (2012) · Bioinformatics · doi:10.1093/bioinformatics/btr597 · Cited by 6,156
“Another approach for continuous data, especially in the case of highdimensional normal data matrices, is presented by Städler and Bühlmann (2010) using an EM-type algorithm.”
BackgroundMethodInfluentialDouble-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies
Szymańska, E., Saccenti, E., Smilde, A. K., & Westerhuis, J. A. (2012) · Metabolomics · doi:10.1007/s11306-011-0330-3 · Cited by 908
Self-citationMultivariate data analysis in pharmaceutics: A tutorial review
Rajalahti, T., & Kvalheim, O. M. (2011) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2011.02.019 · Cited by 768
Multivariate paired data analysis: multilevel PLSDA versus OPLSDA
Westerhuis, J. A., van Velzen, E. J. J., Hoefsloot, H. C. J., & Smilde, A. K. (2010) · Metabolomics · doi:10.1007/s11306-009-0185-z · Cited by 417
Self-citationGorrochategui, E., Jaumot, J., Lacorte, S., & Tauler, R. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2016.07.004 · Cited by 352
Metadata
- Authors
- Smit, S., van Breemen, M. J., Hoefsloot, H. C. J., Smilde, A. K., Aerts, J. M. F. G., & de Koster, C. G.
- Venue
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Published
- 2007-06
- Volume
- 592
- Issue
- 2
- Pages
- 210-217
- ISSN
- 0003-2670 (ISSN-L)
- OpenAlex
- W2057235898
- Cited by
- 177
- References
- 2
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Assessing the statistical validity of proteomics based biomarkers. https://app.cochat.ai/papers/10.1016/j.aca.2007.04.043
- The paper
- Smit, S., van Breemen, M. J., Hoefsloot, H. C. J., Smilde, A. K., Aerts, J. M. F. G., & de Koster, C. G. (2007). Assessing the statistical validity of proteomics based biomarkers. Analytica Chimica Acta. https://doi.org/10.1016/j.aca.2007.04.043
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
