Robust sparse accelerated failure time model for survival analysis.
To identify the bio-mark genes related to disease with high dimension and low sample size gene expression data, various regression approaches with different regularization methods have been proposed to solve this problem. Nevertheless, high-noises in biological data significantly reduce the performa...
| Publicado en: | Technology & Health Care Vol. 26; pp. 55 - 64 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
2018 Supplement 1
|
| Acceso en línea: | Ver este registro en EBSCOhost |