The case for well-conducted experiments to validate statistical protocols for 2D gels: different pre-processing = different lists of significant proteins.

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.

journal_name

BMC Biotechnol

journal_title

BMC biotechnology

authors

Meleth S,Deshane J,Kim H

doi

10.1186/1472-6750-5-7

keywords:

subject

Has Abstract

pub_date

2005-02-11 00:00:00

pages

7

issn

1472-6750

pii

1472-6750-5-7

journal_volume

5

pub_type

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