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Application of committee kNN classifiers for gene expression profile classification
International Journal of Bioinformatics Research and Applications
In this study, we develop a two-class classification system based on a committee of k-nearest neighbor (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 leukemia patients. We show that the system can be effectively used fordoi:10.1504/ijbra.2010.035998 pmid:20940122 fatcat:uvev5vullzhnxegliwwd7yg7n4