Processing of data generated by 2-dimensional gel electrophoresis for statistical analysis: missing data, normalization, and statistics.

Abstract:

:Several high-throughput statistical methods were evaluated for processing data generated by two-dimensional polyacrylamide gel electrophoresis, including how to handle missing data, normalization, and statistical analysis of data obtained from 2-D gels. Quantile normalization combined with a nonparametric permutation test based on minimizing false discover rates gave the highest yield of proteins that changed with genotype and detected the anticipated 50% decrease in Mn-superoxide dismutase (MnSOD) protein levels in mitochondrial extracts obtained from MnSOD-deficient mice.

journal_name

J Proteome Res

authors

Chang J,Van Remmen H,Ward WF,Regnier FE,Richardson A,Cornell J

doi

10.1021/pr049886m

keywords:

subject

Has Abstract

pub_date

2004-11-01 00:00:00

pages

1210-8

issue

6

eissn

1535-3893

issn

1535-3907

journal_volume

3

pub_type

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