ExpertDiscovery system applies an original knowledge discovery approach (Relational Data Mining) [Scientific Discovery Web Site; Vityaev, 2006; Vityaev, Kovalerchuk, 2008; Vityaev, Kovalerchuk, 2004; Kovalerchuk, Vityaev, 2000]. The approach was used in Discovery system which has been successfully applied for solution some particular problems in the fields of psychophysics, cancer diagnostics and securities rates prediction. The heart of the system is semantic probabilistic inference. [Vityaev, 2006].
The idea of new knowledge discovery is to sequentially increase accuracy of hypotheses so that on each step the hypotheses have the higher probability and definition level. Also the level of significance of the results is tested by statistical criterions.
Discovery system implements semantic probabilistic inference with knowledge discovery as a set of probability laws, the strongest probability laws and maximally specific laws.
ExpertDiscovery is an adaptation of the Discovery system which is configured to knowledge discovery in sets of nucleotide sequences, according to semantic probabilistic inference, as complex signals with specified parameters.
ExpertDiscovery plugin in UGENE has the following advantages:
To open the ExpertDixcovery go to the Tools->Expert Discovery main menu item. More detailed information about ExpertDiscovery you can find below: