Identification of Homo sapiens cancer classes based on fusion of hidden gene features.
Classification of Homo sapiens cancer genes in molecular level is a challenging research issue as they are extremely pseudo random in nature. Signature gene features need to be exposed to distinctly identify the gene class. Tree-structured filter bank is chosen to perform feature extraction and dime...
| Publicado en: | Journal of Biomedical Informatics Vol. 110 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Oct2020
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| Acceso en línea: | Ver este registro en EBSCOhost |