Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Zhanfeng Wang

  • Research Article
    Identifying Differential Gene Sets using the Linear Combination of Genes with Maximum AUC
    Author(s): Zhanfeng Wang, Chen-An Tsai and Yuan-chin I ChangZhanfeng Wang, Chen-An Tsai and Yuan-chin I Chang

    Gene Set Enrichment Analysis (GSEA) utilizes the gene expression profiles of functionally related gene sets in Gene Ontology (GO) categories or prior defined biological classes to assess the significance of gene sets associated with clinical outcomes or phenotypes and are the most widely used method for gene analysis. However, little attention has been given from a classification prospect. In this paper, we identify the differential gene sets, which are strongly associated with phenotypic class distinction ability, using gene expression data together with prior biological knowledge. We propose two non-parametric methods to identify differential gene sets using the area under the receiver operating characteristic (ROC) curve (AUC) of linear risk scores of gene sets, which are obtained through a parsimonious threshold-independent gene .. View More»
    DOI: 10.4172/jpb.1000216

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