A semiparametric approach for marker gene selection based on gene expression data.

Abstract excerpt

MOTIVATION: Identification of differentially expressed genes is a major issue in gene expression data analysis and selection of marker genes is critical in tumor classification using gene expression data. In this paper, we propose a semiparametric two-sample test to identify both differentially expressed genes and select marker genes for sample classification. RESULTS: A simulation study shows that the proposed...

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• Share to Biomarkers, Tumor
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