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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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| Published in: | Cancer Genomics Proteomics |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
International Institute of Anticancer Research
2017
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| Subjects: | |
| Online Access: | 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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