Systems Biology Modeling and Analysis

The computational pipeline, guided by the user, integrates the significantly perturbed pathways and gene groups from DBGGA scoring to construct a plausible system level model of the disease/condition. The system model encompasses the whole time-course patterns and multi-conditional behaviors of a large group of genes/proteins ("omics" and other physiological responses). A greater discriminating power is expected for the model even when the effects of individual genes are small. Thus, the system (disease) models can be used for more efficient comparative modeling, pattern recognition and simulations supporting "what-if" type of analyses. Two system model generation approaches are employed by BioSignatureDS™. First is a top-down reconstruction method based on merging of pathways with known gene/protein relationships and the second is based on a bottom-up network learning approach based on the merger of gene/protein data and prior knowledge (i.e. known protein-protein interactions).

return to pipeline