Searching for hidden patterns in a large genetic database

This in this paper we present the design of the foundation of an expert system for clinical interpretation of the “-omics” data using methods of big data processing. Such an expert system should be able to classify tumors processing vast volume of input data of different nature (demographic, genomic, clinical, epidemiological, diagnostic) and to be ready to append data in real-time, to update itself, to learn, and ultimately to be an instrument for clinical oncologists in evaluating predispositions and disease prognosis and for selecting the most appropriate therapy.