The Effect of Paralogs on Microarray Gene-set Analysis
News Jan 25, 2011
In order to interpret the results obtained from a microarray experiment, researchers often shift the focus from analysis of the individual differentially expressed genes to the analyses of sets of genes. These gene-set analysis (GSA) methods use previously accumulated biological knowledge to group genes into sets and then aim to rank these gene sets in a way that reflects their relative importance in the experimental situation in question.
The researchers from the EBI suspected that the presence of paralogs affects the ability of GSA methods to accurately identify the most important sets of genes for subsequent research.
The paper, which appears in BioMed Centrals Bioinformatics journal is freely available on BMC's website through the following link http://www.biomedcentral.com/1471-2105/12/29/abstract
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