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.
Atslēgas vārdi
bioinformatics, classification, class decomposition, data mining, data structure exploration
Poļaka, I., Borisovs, A. Class Decomposition in Bioinformatics Analyzing Omics Data. No: Proceedings of Workshop on Data Mining in Life Sciences (DMLS'2012): Workshop on Data Mining in Life Sciences (DMLS'2012), Vācija, Berlin, 20.-20. jūlijs, 2012. Berlin: Springer-Verlag Berlin Heidelberg, 2012, 158.-167.lpp.
Publikācijas valoda
English (en)