Fig. 1
From: Edge-based relative entropy as a sensitive indicator of critical transitions in biological systems
Schematic diagram of the edge-based relative entropy (ERE) method. A Given reference samples from a relatively healthy cohort and case samples to be tested, the probability corresponding to the expression of each gene in an individual sample under the two conditions is calculated separately using kernel density estimation (KDE). The entropy matrix is then obtained. B Matrices regarding node and edge features. C During the progression of complex diseases, ERE can effectively distinguish the before-transition and pre-transition states at the network level and identify some edge biomarkers for prognosis analysis. D The significant change in ERE may indicate a critical state of a complex disease