Gene selection algorithms for microarray data based on least squares support vector machine |
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| Authors: | E Ke Tang PN Suganthan Xin Yao |
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| Affiliation: | (1) School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, Singapore;(2) School of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK |
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| Abstract: | ![]()
Background In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary to conduct the discriminant analysis with all the genes. Hence, gene selection is usually performed to select important genes. |
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