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- Title
Reliable gene signatures for microarray classification: assessment of stability and performance.
- Authors
Davis, Chad A; Gerick, Fabian; Hintermair, Volker; Friedel, Caroline C; Fundel, Katrin; Küffner, Robert; Zimmer, Ralf
- Abstract
Two important questions for the analysis of gene expression measurements from different sample classes are (1) how to classify samples and (2) how to identify meaningful gene signatures (ranked gene lists) exhibiting the differences between classes and sample subsets. Solutions to both questions have immediate biological and biomedical applications. To achieve optimal classification performance, a suitable combination of classifier and gene selection method needs to be specifically selected for a given dataset. The selected gene signatures can be unstable and the resulting classification accuracy unreliable, particularly when considering different subsets of samples. Both unstable gene signatures and overestimated classification accuracy can impair biological conclusions.
- Publication
Bioinformatics (Oxford, England), 2006, Vol 22, Issue 19, p2356
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btl400