Quantification of biological network perturbations for mechanistic insight and diagnostics using two-layer causal models

The presented framework efficiently integrates transcriptomics data and "cause and effect" network models to enable a mathematically coherent framework from quantitative impact assessment and data interpretation to patient stratification for diagnosis purposes.