Class Decomposition in Bioinformatics Analyzing Omics Data

Proceedings of Workshop on Data Mining in Life Sciences (DMLS'2012) 2012
Inese Poļaka, Arkādijs Borisovs

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.

Keywords
bioinformatics, classification, class decomposition, data mining, data structure exploration

Poļaka, I., Borisovs, A. Class Decomposition in Bioinformatics Analyzing Omics Data. In: Proceedings of Workshop on Data Mining in Life Sciences (DMLS'2012): Workshop on Data Mining in Life Sciences (DMLS'2012), Germany, Berlin, 20.-20. July, 2012. Berlin: Springer-Verlag Berlin Heidelberg, 2012, pp.158.-167.

Publication language
English (en)