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Microarray gene expression data have been used in cancer discovery and prediction characterized by their small samples and large dimensionality. This paper proposes a hybrid method based on improved Ant Colony Optimization (ACO) and Random Forests (RF) for selecting a small set of marker genes from microarray data to produce high accuracy cancer classifier. The method preselects top-ranked features...
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....
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