Affiliations: [a] Department of Electronics and Information, Milan Polytechinics, Piazza Leonardo da Vinci 32, 20133 Milan, Italy. E-mail: bittanti@elet.polimi.it, sgaratti@elet.polimi.it | [b] Institute of Electronics, Information and Telecommunication Engineering, National Research Council, Milan, Italy. E-mail: liberati@elet.polimi.it | [c] Department of Bioengineering, Milan Polytechnics, Piazza Leonardo da Vinci 32, 20133 Milan, Italy
Abstract: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain type of cancer. In this paper, starting from a paradigmatic classification problem of two kinds of Leukaemia, we discuss the use of data-mining techniques in such a context. Particular attention is devoted not only to the classification method but also to all the data analysis steps including data pre-processing and information retrieval.
Keywords: Data analysis for biomedical diagnosis, bioinformatics, data-mining, clustering
