Journal article

Comparison of discrimination methods for the classification of tumors using gene expression data

S Dudoit, J Fridlyand, TP Speed

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | AMER STATISTICAL ASSOC | Published : 2002

Abstract

A reliable and precise classification of tumors is essential for successful diagnosis and treatment of cancer. cDNA microarrays and high-density oligonucleotide chips are novel biotechnologies increasingly used in cancer research. By allowing the monitoring of expression levels in cells for thousands of genes simultaneously, microarray experiments may lead to a more complete understanding of the molecular variations among tumors and hence to a finer and more informative classification. The ability to successfully distinguish between tumor classes (already known or yet to be discovered) using gene expression data is an important aspect of this novel approach to cancer classification. This art..

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University of Melbourne Researchers