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A Bayesian model for classifying all differentially expressed proteins simultaneously in 2D PAGE gels

Wu, Steven H.; Black, Michael A.; North, Robyn A.; Rodrigo, Allen


Background: Two-dimensional polyacrylamide gel electrophoresis (2D PAGE) is commonly used to identify differentially expressed proteins under two or more experimental or observational conditions. Wu et al (2009) developed a univariate probabilistic model which was used to identify differential expression between Case and Control groups, by applying a Likelihood Ratio Test (LRT) to each protein on a 2D PAGE. In contrast to commonly used statistical approaches, this model takes into account the...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: BMC Bioinformatics
DOI: 10.1186/1471-2105-13-137
Access Rights: Open Access


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