QUANTITATIVE ASSESSMENT OF BIOLOGICAL IMPACT USING MECHANISTIC NETWORK MODELS

摘要

A method to score a causally consistent network is provided by transforming the network into a hypothesis subnetwork, called a HYP (if the nodes have associated measurements) or a meta-HYP (if the nodes are themselves HYPs), and then applying known HYP scoring methods (e.g. (NPA, GPI, or the like) based on measurements or scores associated with nodes in the subnetwork. A method also is described for creating a HYP or meta-HYP with weights associated with each downstream node from a causally inconsistent network using a computational technique such as sampling of spanning trees. A further aspect is a method to transform a meta-HYP (with or without weights associated with each downstream node) into a HYP using the weights associated with each downstream node (where the weights are based on the scoring algorithms intended at the meta-HYP and HYP levels).