Bioinformatics 2007 23(24):3415; doi:10.1093/bioinformatics/btm419
ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data
Smilde et al.Bioinformatics (2005), 21(13); 3043–3048
The above paper by Smilde et al. inappropriately quotes results from Dr Kraus as additional support of the proposed ASCA model.
Dr Smilde apologizes for this error and the Editors of Bioinformatics find it sufficient to correct this error by replacing the paragraph mentioning this experimental information as follows, since this rectification does not affect the validity of the publication:
Replace the original text:
However, the results of the ASCA model of this data set were in agreement with additional clinical measurements that were performed after the experiment on the guinea pigs used in this study. The severity of OA was determined using histology scores on the Mankin grading system. These scores did not differ between the dose groups, which indicates an equal development of OA
With the following:
However, the results of the ASCA model cannot easily be translated to the effect of vitamin C on the progression of osteoarthritis in guinea pigs, as it was expected. The lack of effect on the NMR urine profiles can be explained by other factors see Kraus et al. (2004) and Lamers et al. (2003).
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Kraus VB, et al. Articular hypermobility is a protective factor for handosteoarthritis. Arthritis Rheum (2004) 50:2178–2183.[CrossRef][Web of Science][Medline]
Lamers RJ, et al. Identification of disease- and nutrient-related metabolic fingerprints in osteoarthritic Guinea pigs. J. Nutr (2003) 133:1776–1780.
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