ArticleBMC biotechnology2005
The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins.
Article in BMC biotechnology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Chronology of transcriptome and proteome expression during early Arabidopsis flower development.Journal of experimental botany · 2025Article
- Multi-Omics Methods Applied to Flower Development.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Multiple Imputation Approaches Applied to the Missing Value Problem in Bottom-Up Proteomics.International journal of molecular sciences · 2021Article
- Urinary peptide panel for prognostic assessment of bladder cancer relapse.Scientific reports · 2019Article
- A Urinary Fragment of Mucin-1 Subunit α Is a Novel Biomarker Associated With Renal Dysfunction in the General Population.Kidney international reports · 2017Article
- Vascular Endothelial Growth Factor (VEGF) Promotes Assembly of the p130Cas Interactome to Drive Endothelial Chemotactic Signaling and Angiogenesis.Molecular & cellular proteomics : MCP · 2017Article
- Diastolic Left Ventricular Function in Relation to Urinary and Serum Collagen Biomarkers in a General Population.PloS one · 2016Article
- A comparison of imputation procedures and statistical tests for the analysis of two-dimensional electrophoresis data.Proteome science · 2010Article
- Feature detection techniques for preprocessing proteomic data.International journal of biomedical imaging · 2010Article
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Authors and funding
3 authors.
Funding
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Abstract
backgroundThe proteomics literature has seen a proliferation of publications that seek to apply the rapidly improving technology of 2D gels to study various biological systems. However, there is a dearth of systematic studies that have investigated appropriate statistical approaches to analyse the data from these experiments.
resultsComparison of the effects of statistical pre-processing on the results of two sample t-tests suggests that the results of 2D gel experiments and by extension the conclusions derived from these experiments are not independent of the statistical protocol used.
conclusionsThis study suggests that there is a need for well-conducted validation studies to establish optimal statistical techniques to be used on such data sets.
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