Analysis of gene expression data by the logic minimization approach (CROSBI ID 495912)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Gamberger, Dragan ; Lavrač, Nada
engleski
Analysis of gene expression data by the logic minimization approach
This paper presents an application of machine learning algorithms based on inductive learning by logic minimization to the analysis of gene expression data. The characteristic properties of these data are a very large number of attributes (genes) and a relatively small number of examples (samples). Approaches to gene set reduction and to the detection of important disease markers are described. The results obtained on two well known publicly available gene expression classification problems are presented.
gene expressions; inductive learning; disease markers
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Podaci o prilogu
244 - 248-x.
2003.
objavljeno
Podaci o matičnoj publikaciji
Dojat, Michel ; Keravnou, Elpida ; Barahona, Pedro
Berlin: Springer
Podaci o skupu
9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003
predavanje
18.10.2003-22.10.2003
Protaras, Cipar