Gene selection for microarray data classification via subspace learning and manifold regularization.
With the rapid development of DNA microarray technology, large amount of genomic data has been generated. Classification of these microarray data is a challenge task since gene expression data are often with thousands of genes but a small number of samples. In this paper, an effective gene selection...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 7; pp. 1271 - 1285 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |