Paradigm drug response networks

摘要

Systems and methods are presented in which omics data from multiple cell or tissue samples are used to identify pathway elements that are associated with a treatment parameter of the cell or tissue (e.g., resistance towards a specific drug). So identified pathway elements are then modulated in silico in a statistical factor graph model to provide a modified data set that is re-evaluated with respect to the treatment parameter. Such systems and models are particularly useful for recommendation of multi-drug treatments for treatment-nave patients.