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A combinational feature selection and ensemble neural network method for classification of gene expression data
BACKGROUND: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for a particular disease. To date, this problem has received most attention in the context of cancer research, especially in...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2004
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC522806/ https://www.ncbi.nlm.nih.gov/pubmed/15450124 http://dx.doi.org/10.1186/1471-2105-5-136 |