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Ensemble Feature Learning of Genomic Data Using Support Vector Machine
The identification of a subset of genes having the ability to capture the necessary information to distinguish classes of patients is crucial in bioinformatics applications. Ensemble and bagging methods have been shown to work effectively in the process of gene selection and classification. Testamen...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2016
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4909287/ https://ncbi.nlm.nih.gov/pubmed/27304923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0157330 |
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