Improved classification of microarray gene expression data using support vector machines

• Autorzy: Fujarewicz K. , Kimmel M. , Rzeszowska-Wolny J. , Świerniak A.
• Języki publikacji: EN

Abstrakty

EN

Microarrays are new technique of gene expression measurements that attracted a great deal of research interest in recent years. It has been suggested that gene expression data from microarrays (biochips) can be utilized in many biomedical areas, for example in cancer classification. Whereas several, new and existing, methods of classification has been tested, a selection of proper (optimal) set of genes, which expression serves during classification, is still an open problem. In this paper we propose a heuristic method of choosing suboptimal set of genes by using support vector machines (SVMs). Obtained set of genes optimizes one-leave-out cross-validation error. The method is tested on microarray gene expression data of samples of two cancer types: acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). The results show that quality of classification of selected set of genes is much better than for sets obtained using another methods of feature selection.

Słowa kluczowe

EN

gene expression data; support vector machine; classification; feature selection; cancer diagnosis

PL

ekspresja genów; maszyna wektorów nośnych; klasyfikacja; selekcja cech; diagnoza nowotworu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 1
• Strony: MI9--MI17
• Opis fizyczny: Bibliogr. 16 poz., wykr.

Twórcy

autor

Fujarewicz K.

• Siesan Technical University, Institute of Automatic Control, Akademicka 16, 44-101 Gliwice, Poland

autor

Kimmel M.

• Department of Statistics, Rice University, P.O. Box 1892, Houston, TX 77251, USA

autor

Rzeszowska-Wolny J.

• Department of Experimental and Clinical Radiobiology, Institute of Oncology, 44-101 Gliwice, Poland

autor

Świerniak A.

• Siesan Technical University, Institute of Automatic Control, Akademicka 16, 44-101 Gliwice, Poland

Bibliografia

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