PubMed · 15595730
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.
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Jinsook Chang, Holly Van Remmen, Walter F Ward, Fred E Regnier, Arlan Richardson, John Cornell. Processing of data generated by 2-dimensional gel electrophoresis for statistical analysis: missing data, normalization, and statistics.. https://doi.org/10.1021/pr049886m
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