You can manage bookmarks using lists, please log in to your user account for this.
Media type:
E-Article
Title:
Evaluating Microarray-based Classifiers: An Overview
Contributor:
Boulesteix, A.-L.;
Strobl, C.;
Augustin, T.;
Daumer, M.
Published:
SAGE Publications, 2008
Published in:
Cancer Informatics, 6 (2008), Seite CIN.S408
Language:
English
DOI:
10.4137/cin.s408
ISSN:
1176-9351
Origination:
Footnote:
Description:
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.