RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis

Abstract

RedundancyMiner effectively eliminated redundancies from a set of GO categories. For illustration, we have applied it to the clarification of the results arising from two current studies: (1) assessment of the gene expression profiles obtained by laser capture microdissection (LCM) of serial cryosections of the retina at the site of final optic fissure closure in the mouse embryos at specific embryonic stages, and (2) analysis of a conceptual data set obtained by examining a list of genes deemed to be "kinetochore" genes.

Keywords

DNA microarrayReplication (statistics)ProteomicsComputational biologyMicroarrayMicroarray analysis techniquesBiologyComputer scienceGeneticsGeneVirologyGene expression

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Publication Info

Year: 2011
Type: article
Volume: 12
Issue: 1
Pages: 52-52
Citations: 24
Access: Closed

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APA Style

                            
                                
                                    Barry R. Zeebèrg, 
                                
                                    Hongfang Liu, 
                                
                                    A Kahn
                                
                                et al.
                            
                            (2011). 
                            RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis. 
                            BMC Bioinformatics
                            , 12
                            (1)
                            , 52-52.
                            https://doi.org/10.1186/1471-2105-12-52
                        

Identifiers

DOI: 10.1186/1471-2105-12-52