Framework for classification of cancer gene expression data using Bayesian hyper-parameter optimization.
Computational classification of cancers is an important research problem. Gene expression data has 1000s of features, very few samples, and a class imbalance problem. In this paper, we have proposed a framework for the classification of cancer gene expression profiles. The framework consists of a pi...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 11/12; pp. 2353 - 2372 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |