Weighted L1-norm logistic regression for gene selection of microarray gene expression classification
The classification of cancer is a significant application of the DNA microarray data. Gene selection methods are ordinarily used handle the issue of high-dimensionality of microarray data to enable experts to diagnose and classify cancer with high accuracy. The penalized logistic regression (PLR) te...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Insight Society
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/92655/1/AiedhMrisiAlharthi2020_WeightedL1NormLogisticRegression.pdf http://eprints.utm.my/id/eprint/92655/ http://dx.doi.org/10.18517/ijaseit.10.4.10907 |
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