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Applications of Support Vector Machine (SVM) Learning in Cancer Genomics
Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping. Today, as advancements in high-throughput technologies lead to production of...
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| Publicat a: | Cancer Genomics Proteomics |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
International Institute of Anticancer Research
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5822181/ https://ncbi.nlm.nih.gov/pubmed/29275361 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21873/cgp.20063 |
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