Application of committee kNN classifiers for gene expression profile classification.
Int J Bioinform Res Appl
; 6(4): 344-52, 2010.
Article
em En
| MEDLINE
| ID: mdl-20940122
ABSTRACT
In this study, we develop a two-class classification system based on a committee of k-Nearest Neighbour (kNN) classifiers. The system includes a sequence of simple data preprocessing steps. Each committee consists of 5 kNN classifiers of different architectures. Each classifier on the committee takes in a different set of features. The classification system is then applied to a set of microarray gene expression profiles from leukaemia patients. We show that the system can be effectively used for classifying microarray gene expression data. The results demonstrate the committee approach consistently outperforms individual kNN classifiers in terms of both classification accuracy and stability.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Perfilação da Expressão Gênica
Limite:
Humans
Idioma:
En
Revista:
Int J Bioinform Res Appl
Ano de publicação:
2010
Tipo de documento:
Article