Evaluating microarray-based classifiers: an overview.
Cancer Inform
; 6: 77-97, 2008.
Article
in En
| MEDLINE
| ID: mdl-19259405
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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Prognostic_studies
Language:
En
Journal:
Cancer Inform
Year:
2008
Document type:
Article
Affiliation country:
Alemania