Interactive SOM-Based gene grouping: an approach to gene expression data analysis

Authors:
Alicja Grużdź;Aleksandra Ihnatowicz;Dominik Ślezak
Affiliations:
Department of Computer Science, University of Regina, Regina, SK, Canada;Department of Computer Science, University of Regina, Regina, SK, Canada;Polish-Japanese Institute of Information Technology, Warsaw, Poland
Venue:
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Year:
2005

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Abstract

We propose an approach to clustering and visualization of the DNA microarray-based gene expression data. We implement the self-organizing map (SOM) handling similarities between genes in terms of their expression characteristics. The resulting algorithmic toolkit is enriched with graphical interface enabling the user to interactively support the entire learning process.Preliminary calculations and consultations with biomedical experts positively verify applicability of our method.