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...
Disimpan dalam:
| Pengarang-pengarang Utama: | , |
|---|---|
| Format: | Artikel |
| Diterbitkan: |
Elsevier Limited
2015
|
| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/55241/ http://eprints.utm.my/55241/ http://eprints.utm.my/55241/ |
| Penanda-penanda: |
Tambah Penanda
Tiada Penanda, Jadilah orang pertama menanda rekod ini!
|
Jadilah orang pertama meninggalkan komen!