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Classification of Microarray Gene-Expression Data (2003)

Abstract

The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of the methodology to be developed is to expedite the discovery of new subclasses of diseases. Another is to provide prediction rules for the diagnosis and treatment of diseases.

Experts

Professor Geoffrey McLachlan

Professor
School of Mathematics and Physics
Faculty of Science
Geoffrey McLachlan
Geoffrey McLachlan

Emeritus Professor Kaye Basford

Emeritus Professor
School of Agriculture and Food Sustainability
Faculty of Science
Kaye Basford
Kaye Basford