Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification
Cancer classification and gene selection in high-dimensional data have been popular research topics in genetics and molecular biology. Recently, adaptive regularized logistic regression using the elastic net regularization, which is called the adaptive elastic net, has been successfully applied in h...
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Format: | Article |
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Elsevier Limited
2015
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Online Access: | http://eprints.utm.my/id/eprint/55241/ http://dx.doi.org/10.1016/j.compbiomed.2015.10.008 |
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