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 |
| Published: |
Elsevier Ltd
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58770/ http://dx.doi.org/10.1016/j.eswa.2015.08.016 |
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| Institution: | Universiti Teknologi Malaysia |