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doctoral dissertation

Reverse engineering of biological signaling networks via integration of data and knowledge using probabilistic graphical models. Approach to reverse engineer biological pathway with a data driven approach together with knowledge integration
The dissertation has been drafted based on the methods developed for reverse engineering of biological pathways using data and implement the use of existing knowledge to improve the inferred pathways. The real engine of the dissertation is around probabilistic graphical networks.