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Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics
Feature selection is an important topic in bioinformatics. Defining informative features from complex high dimensional biological data is critical in disease study, drug development, etc. Support vector machine-recursive feature elimination (SVM-RFE) is an efficient feature selection technique that...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943966/ https://www.ncbi.nlm.nih.gov/pubmed/29278382 http://dx.doi.org/10.3390/molecules23010052 |