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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...
Gorde:
| Argitaratua izan da: | Genomics Proteomics Bioinformatics |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Elsevier
2017
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| Gaiak: | |
| Sarrera elektronikoa: | 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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