“…proteomic, miRNA and DNA methylation data) and it is the functional core of RDA step, DECO is greatly suitable to be applied on these platforms. In fact, there are many publications in the last decade reporting its use for proteomics differential analysis due to its simplicity, performance and dealing with variability of proteomic data (Basken et al , 2018; Jeannin et al , 2018; Kuzniar et al , 2017; Margolin et al , 2009; Pagel et al , 2015; Ting et al , 2009), for miRNA differential analysis (Mastriani et al , 2018; Thomou et al , 2017; Xue et al , 2017), and there are also many successful publications where LIMMA have been applied for differential analysis of CpG methylation levels in different biological scenarios (Johnson et al , 2017; Martorell-Marugan et al , 2019; Saito et al , 2017; Stefan et al , 2014; Wockner et al , 2014). For all these reasons, we think the workflow followed by DECO can be of great help for better disease stratification and biomarker identification.…”