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Predictive models for stage and risk classification in head and neck squamous cell carcinoma (HNSCC)
Machine learning techniques are increasingly used in the analysis of high throughput genome sequencing data to better understand the disease process and design of therapeutic modalities. In the current study, we have applied state of the art machine learning (ML) algorithms (Random Forest (RF), Supp...
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| 出版年: | PeerJ |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7518185/ https://ncbi.nlm.nih.gov/pubmed/33024622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.9656 |
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