Shu-Tong Xie

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Recently, more and more machine learning techniques have been applied to microarray data analysis. The aim of this study is to propose a genetic programming (GP) based new ensemble system (named GPES), which can be used to effectively classify different types of cancers. Decision trees are deployed as base classifiers in this ensemble framework with three(More)
PURPOSE To explore the association between the 3,144 m/z protein peak and the clinicopathological features and prognosis in breast cancer. METHODS Using SELDI-TOF MS, we analyzed serum protein peak at 3,144 m/z in 283 patients with node-positive breast cancer, its relationship with clinicopathological features and their prognosis evaluating value of(More)
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