Comprehensive detection of cancer gene expression profiles and gene networks are impacted by the choice of pre-processing algorithm and gene-selection method

Pre-processing algorithms (PPA) and gene-selection methods (GSM) are commonly employed to select Differentially Expressed Genes (DEGs) from microarray data. Previous studies established that different combinations of PPAs and GSMs are intrinsically different in their performance to select biologically relevant DEGs. In this study, we evaluated eight combinations of PPAs and GSMs for their ability to select DEGs for prioritising gene-networks. Although the different combinations yielded dissimilar DEG-lists, all DEG-lists selected could segregate tumour from normal. Nevertheless, the DEG-list selected significantly impacted the prioritisation of cancer-associated gene-networks; hence the initial choice of PPA and GSM is crucial for subsequent interactome investigations.

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