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- W112353721 abstract "Recent advances in DNA microarray technologies have made it possible to measure the expression levels of thousands of genes simultaneously. Articial neural network (ANN), and fuzzy neural network (FNN) combined with SWEEP operator method (FNN-SWEEP method) are useful for constructing cancer class prediction model with high accuracy [1]. However, the gene expression data are easy to include an experimental error. Therefore, it is necessary to selectively nd signican t genes and also necessary to eliminate nonspecic genes so as to prevent the model from overtting for learning data before modeling. In this paper, we applied projective adaptive resonance theory (PART) [2] to gene expression data for eliminating nonspecic genes. Furthermore, the genes selected by PART were applied to FNN-SWEEP method for constructing cancer class prediction model. The results in modeling were evaluated by being compared with those without using PART." @default.
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- W112353721 date "2003-01-01" @default.
- W112353721 modified "2023-09-28" @default.
- W112353721 title "Gene Screening Method for Prognostic Prediction Using Projective ART Model" @default.
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