Extraction of the cancer information from microarray of gene expression using support vector machines

Artur Wilinski

doi:10.1117/12.674868

26 April 2006 Extraction of the cancer information from microarray of gene expression using support vector machines

Artur Wilinski

Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 615932 (2006) https://doi.org/10.1117/12.674868
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland

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.

Citation Download Citation

Artur Wilinski "Extraction of the cancer information from microarray of gene expression using support vector machines", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 615932 (26 April 2006); https://doi.org/10.1117/12.674868

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