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PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms

Marc Bruckskotten, Mario Looso, Franz Cemic, Anne Konzer, Jurgen Hemberger, Markus Kruger, Thomas Braun
2010 BMC Bioinformatics  
Results: Here we present a new method, which we name PCA2GO, capable of GO analysis using complex multidimensional experimental settings.  ...  To demonstrate the usefulness of our approach we performed a PCA2GO analysis of a fractionated cardiomyocyte protein dataset, which was identified by enhanced liquid chromatography-mass spectrometry (GeLC-MS  ...  The authors declare that they have no conflicting commercial interests related to this work. Author Details  ... 
doi:10.1186/1471-2105-11-336 pmid:20565932 pmcid:PMC2910024 fatcat:q7nt4b2lffekbpduagnkyjbuam