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...

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Detalles Bibliográficos
Autores principales: Xu, Jiucheng, Wang, Yun, Xu, Keqiang, Zhang, Tianli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
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

Internet

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

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