Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification
An important application of DNA microarray data is cancer classification. Because of the high-dimensionality problem of microarray data, gene selection approaches are often employed to support the expert systems in diagnostic capability of cancer with high classification accuracy. Penalized logistic...
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| Main Authors: | , |
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| Format: | Article |
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Elsevier Ltd
2015
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| Online Access: | http://eprints.utm.my/58770/ http://eprints.utm.my/58770/ http://eprints.utm.my/58770/ |
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