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Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms
BACKGROUND: Stage II colorectal cancer patients had heterogeneous prognosis, and patients with recurrent events had poor survival. In this study, we aimed to identify stage II colorectal cancer recurrence associated genes by microarray meta-analysis and build predictive models to stratify patients...
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| Veröffentlicht in: | J Oncol |
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| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7889382/ https://ncbi.nlm.nih.gov/pubmed/33628243 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/6657397 |
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