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The current gold standard for predicting disease survival and outcome for lymph node-negative, estrogen receptor-positive breast cancer (LN-, ER+ BC) patients is via the gene-expression based assay, Oncotype DX. In this paper, we present a novel computer-aided prognosis (CAP) scheme that employs quantitatively derived image information to predict patient outcome analogous to the Oncotype DX recurrence...
DNA microarrays technology enables us to obtain information about expression levels of thousands of genes at the same time. This technology promises to monitor the whole genome on a single chip so that researchers can have a better picture of the interactions among thousands of genes at the same time. It becomes a challenge to extract information from the large amount of data through data mining....
Gene expression data analysis is a very useful tool for medical diagnosis. Combined with classification methods, this technology can be used to help make clinical decisions for individual patients. In this paper, a novel classification method for cancer microarray data was proposed. This method includes two stages: The first stage is to select a number of genes based on a gene selection algorithm,...
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