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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd
2015
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/58770/ http://dx.doi.org/10.1016/j.eswa.2015.08.016 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|