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Evaluating Microarray-based Classifiers: An Overview

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4633 Article Views

Publication Date: 29 Feb 2008

Journal: Cancer Informatics

Citation: Cancer Informatics 2008:6 77-97

CI journal

610,904 Article Views

6,784,138 Libertas Article Views

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A.-L. Boulesteix1, C. Strobl2, T. Augustin2 and M. Daumer1

1Sylvia Lawry Centre for MS Research (SLC), Hohenlindenerstr. 1, 81677 Munich, Germany. 2Department of Statistics, University of Munich (LMU), Ludwigstr. 33, 80539 Munich, Germany.

Abstract

For the last eight years, microarray-based class prediction has been the subject of numerous publications in medicine, bioinformatics and statistics journals. However, in many articles, the assessment of classification accuracy is carried out using suboptimal procedures and is not paid much attention. In this paper, we carefully review various statistical aspects of classifier evaluation and validation from a practical point of view. The main topics addressed are accuracy measures, error rate estimation procedures, variable selection, choice of classifiers and validation strategy.


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