Indentification of disregulated metabolic pathways by transcriptomic analysis in renal cell carcinoma samples

Microarray analysis, with its ability of simultaneously assessing the expression of thousands of genes, has always attracted interest in cancer research. However, traditional microarray studies suffer from many shortcomings, which result often in poor reproducibility of the studies. Recently, a new approach called group testing, targeting deregulated groups of genes (such as pathways) rather than single entities, has been proposed. This work focuses on the use of group testing techniques towards the identification of deregulated pathways in renal cell carcinoma over three publicly available microarray data sets, compared to more estabilished methods.