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Classification of Bladder Cancer Patients via Penalized Linear Discriminant Analysis
OBJECTIVES: In order to identify genes with the greatest contribution to bladder cancer, we proposed a sparse model making the best discrimination from other patients. METHODS: In a cross-sectional study, 22 genes with a key role in most cancers were considered in 21 bladder cancer patients and 14 p...
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| Publicat a: | Asian Pac J Cancer Prev |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
West Asia Organization for Cancer Prevention
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5555561/ https://ncbi.nlm.nih.gov/pubmed/28612601 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.22034/APJCP.2017.18.5.1453 |
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