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Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
BACKGROUND: Microarray data have been widely utilized for cancer classification. The main characteristic of microarray data is “large p and small n” in that data contain a small number of subjects but a large number of genes. It may affect the validity of the classification. Thus, there is a pressin...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082986/ https://www.ncbi.nlm.nih.gov/pubmed/37031189 http://dx.doi.org/10.1186/s12859-023-05267-3 |