ExpertDiscovery system application for the hierarchical analysis of eukaryotic transcription regulatory regions based on DNA cod

We developed Relational Data Mining approach which allows to overcome essential limitations of the Data Mining and Knowledge Discovery techniques. In the paper the approach was implemented to adapt the original `Discovery' system to the computational biology needs. The objects under consideration, eukaryotic transcription regulatory regions, are characterized by the great variety of context physicochemical and conformational DNA features. The currently available tools aimed at the regulatory regions analysis are sensitive to specific DNA features; therefore they produce poor results on complex heterogeneous data. Development of a method integrating the results of different recognition programs is a challenging task. We have developed the `ExpertDiscovery' system, which discovers the hierarchically complicating set of complex signals based on different elementary signals. It provides a powerful tool to construct a model of regulatory region generalizing the results of differe...

• Type: Journal
• Year: 2008
• Where: IDA
• Authors: I. V. Khomicheva, Eugenii E. Vityaev, Elena A. Ananko, T. I. Shipilov, Victor G. Levitsky
• Keywords: Data Mining, Elementary Signals, IDA 2008, Information Technology, Regulatory Regions