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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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| Pubblicato in: | Genomics Proteomics Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2017
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| Soggetti: | |
| Accesso online: | 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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