Weighted top score pair method for gene selection and classification

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Abstract

Gene selection and expression profiles classification are important for diagnosing the disease using microarray technology and revealing the underlying biological processes. This paper proposes a weighted top scoring pair (WTSP) method which is a generalization of the current top scoring pair (TSP) method. By considering the proportions of samples from different classes, the WTSP method aims to minimize the error or misclassification rate. Results from several experimental microarray data have shown the improved performance of classification using the WTSP method. © 2008 Springer Berlin Heidelberg.

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Luo, H., Sudibyo, Y., Miller, L. D., & Karuturi, R. K. M. (2008). Weighted top score pair method for gene selection and classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5265 LNBI, pp. 323–333). Springer Verlag. https://doi.org/10.1007/978-3-540-88436-1_28

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