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Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification
It remains a great challenge to achieve sufficient cancer classification accuracy with the entire set of genes, due to the high dimensions, small sample size, and big noise of gene expression data. We thus proposed a hybrid gene selection method, Information Gain-Support Vector Machine (IG-SVM) in t...
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| Publicado no: | Genomics Proteomics Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5828665/ https://ncbi.nlm.nih.gov/pubmed/29246519 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.gpb.2017.08.002 |
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