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Proceedings Paper

Extraction of the cancer information from microarray of gene expression using support vector machines
Author(s): Artur Wilinski
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Paper Abstract

Cancer diagnosis is one of the most important clinical applications of gene expression microarray technology. It is not easy to indicate which of genes are directly liable for evolution of the cancer. So, computer methods of analysis of gene expression are wanted. The paper presents some solution to this problem by applying Support Vector Machine (SVM) network. The important stage of this approach includes the generation of the features on the basis of which SVM will recognize all genes for which change of expression is significantly big in the process of tumor evolution. Results of computational experiments will be presented and discussed in this paper.

Paper Details

Date Published: 26 April 2006
PDF: 6 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 615932 (26 April 2006); doi: 10.1117/12.674868
Show Author Affiliations
Artur Wilinski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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