Linear regression-based feature selection for microarray data classification

Abstract

Predicting the class of gene expression profiles helps improve the diagnosis and treatment of diseases. Analysing huge gene expression data otherwise known as microarray data is complicated due to its high dimensionality. Hence the traditional classifiers do not perform well where the number of features far exceeds the number of samples. A good set of… (More)
DOI: 10.1504/IJDMB.2015.066776

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