학술논문

The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins.
Document Type
Article
Source
BMC Biotechnology. 2005, Vol. 5, p7-15. 15p. 2 Diagrams, 11 Charts, 3 Graphs.
Subject
*GELATION
*PROTEINS
*PROTEOMICS
*BIOLOGICAL systems
*STATISTICS
Language
ISSN
1472-6750
Abstract
Background: The 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. Results: Comparison 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. Conclusions: This study suggests that there is a need for well-conducted validation studies to establish optimal statistical techniques to be used on such data sets. [ABSTRACT FROM AUTHOR]