Towards Prediction and Prioritization of disease genes by the modularity of human phenome-genome assembled network

Structural bounds on the dyadic effect

“…Regarding the applications, when a network and a set of characteristics are given, it is straightforward to compute for each characteristic the point of maximum degeneration D = H = 1, the values D, H and through the use of the four bounds, D min , D max , H min and H max . This approach can be useful in many applications, such as in [19], [20], [21] and [31] where the phase diagram is hard to compute. In such contexts statistical approaches are used to gather information on the correlation between nodes' characteristics and the network topology by looking for the relative distance of the point (D, H) from the point of maximum degeneration.…”

“…The dyadic effect has been considered in order to assess the functional role of nodes within biological networks such as, for instance, in gene-gene interaction in statistical epistasis networks [19], in phenome-genome networks [20] in disease-phenotype network [21] and in protein-protein interaction networks [31] where numerous characteristics are studied to evaluate genetic interactions. Nodes' characteristics are investigated also in interorganizational innovation networks ( [12], [14]) where partnerships agreements of technological transfer among countries are related to innovation indices.…”

“…The literature has attempted to overcome these difficulties by using heuristics or statistical methods. For instance, in [28] it is reported a heuristic method able to identify extremal configurations; in [19], [20], [21], and [31] statistical methods are used to infer the existence of some configurations in computational biology, while in [5] entropy-based measures are used to globally assess the relevance of nodes' characteristics.…”