Cancer classification by gradient LDA technique using microarray gene expression data

Abstract

Cancer classification is one of the major applications of the microarray technology. When standard machine learning techniques are applied for cancer classification, they face the small sample size (SSS) problem of gene expression data. The SSS problem is inherited from large dimensionality of the feature space (due to large number of genes) compared to the… (More)
DOI: 10.1016/j.datak.2008.04.004

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