Methods of microarray data preprocessing for classification of tumors

• Autorzy: Rubel T. , Pawłowski Z. , Zaremba K.
• Języki publikacji: EN

Abstrakty

EN

Gene arrays measure expression levels for thousands of genes simultaneously, providing a powerful tool for both basic research and clinical medicine. The aim of this paper was to present an optimal approach to preprocessing data from cancer microarray studies. The performance of different statistical methods used for the tumor classification was also compared. These methods include: the Bayes classifier, Fisher's classifier, minimum Euclidean and Mahalanobis distance classifiers and K-nearest neighbours classifier. The preprocessing algorithms and classification methods were applied to three datasets used for diagnosis of lymphoma, leukemia and lung cancer.

Słowa kluczowe

EN

microarrays; gene expression data preprocessing; classification

PL

mikromacierz; ekspresja genu; klasyfikacja guza

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2005
• Tom: Vol. 25, no. 4
• Strony: 37--57
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Rubel T.

• Institute of Radioelectronics, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warszawa, Poland

autor

Pawłowski Z.

• Institute of Radioelectronics, Warsaw University of Technology, Poland

autor

Zaremba K.

• Institute of Radioelectronics, Warsaw University of Technology, Poland

Bibliografia

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