Class Decomposition in Bioinformatics Analyzing Omics Data

This article presents an approach in bioinformatics data analysis and exploration. The diseases studied in bioinformatics (diagnostic, prognostic etc. studies) often have known or yet undiscovered subtypes that can be used while solving bioinformatics tasks providing more information and knowledge. This study tackles the mentioned problem by studying inner class structures using cluster analysis to find subclasses and applying it in classification tasks. The study concludes in comparison with regular classification procedure