ANMM4CBR: a case-based reasoning method for gene expression data classification.

ABSTRACT:

Background

Accurate classification of microarray data is critical for successful clinical diagnosis and treatment. The "curse of dimensionality" problem and noise in the data, however, undermines the performance of many algorithms.

Method

In order to obtain a robust classifier, a novel Additive Nonparametric Margin Maximum for Case-Based Reasoning (ANMM4CBR) method is proposed in this article. ANMM4CBR employs a case-based reasoning (CBR) method for classification. CBR is a suitable paradigm for microarray analysis, where the rules that define the domain knowledge are difficult to obtain because usually only a small number of training samples are available. Moreover, in order to select the most informative genes, we propose to perform feature selection via additively optimiz

SUBMITTER: Yao B 

PROVIDER: S-EPMC2843690 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature