Skip navigation
Skip navigation

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

Description

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
URI: http://hdl.handle.net/1885/153026
Source: BMC Bioinformatics
DOI: 10.1186/1471-2105-13-137
Access Rights: Open Access

Download

File Description SizeFormat Image
01_Wu_A_Bayesian_model_for_2012.pdf676.51 kBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator