Blind source separation methods for deconvolution of complex signals in cancer biology

► Blind source separation (BSS) methods approximate complex data by a set of components. ► We focus on application of BSS methods for analysis of gene expression in cancer. ► Two methods described in this review have advantages over the stardard statistical methods. ► BSS methods are applied in classification, interpetation and biomarker discovery.