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...

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Detalles Bibliográficos
Autores principales: Lin, Xiaohui, Li, Chao, Zhang, Yanhui, Su, Benzhe, Fan, Meng, Wei, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943966/
https://www.ncbi.nlm.nih.gov/pubmed/29278382
http://dx.doi.org/10.3390/molecules23010052

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