DIGGIT identify genetic variants associated with drivers of specific physiopathologic states. I computes the statistical association between the presence of genetic variants (CNV or SNP) and the activity of proteins driving physiologic or pathologic phenotype. It requires large gene expression and genetic variants datasets and depends on context-specific regulatory networks including transcriptional interactomes (usually reverse engineered by the ARACNe algorithm) and post-translational interactomes (usually generated by the MINDy algorithm). Regulatory protein activity is inferred by the VIPER algorithm (available as an R package from bioconductor).
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