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Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data
BACKGROUND: Extracting relevant information from microarray data is a very complex task due to the characteristics of the data sets, as they comprise a large number of features while few samples are generally available. In this sense, feature selection is a very important aspect of the analysis help...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4108856/ https://ncbi.nlm.nih.gov/pubmed/25077572 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1742-4682-11-S1-S7 |
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