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Feature Genes Selection Using Fuzzy Rough Uncertainty Metric for Tumor Diagnosis
To select more effective feature genes, many existing algorithms focus on the selection and study of evaluation methods for feature genes, ignoring the accurate mapping of original information in data processing. Therefore, for solving this problem, a new model is proposed in this paper: rough uncer...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369463/ https://www.ncbi.nlm.nih.gov/pubmed/30809269 http://dx.doi.org/10.1155/2019/6705648 |