Figure 1: The general scheme of iPANDA calculation pipeline.

Fold changes between the gene-expression levels in the samples under investigation, and an average expression level of samples within the normal set serves as input data for the iPANDA algorithm. The major steps of iPANDA algorithm include estimation of statistical weights (1), co-expression-based grouping of genes into modules (2), estimation of topological weights (3) and calculation of iPANDA pathway activation scores (4).