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Deep gene selection method to select genes from microarray datasets for cancer classification
BACKGROUND: Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes. Due to this data imbalance, gene selection is a demanding task for microarray expression data analysis. RESULTS: The gene set selec...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880643/ https://www.ncbi.nlm.nih.gov/pubmed/31775613 http://dx.doi.org/10.1186/s12859-019-3161-2 |