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Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma
BACKGROUND. 1p/19q‐codeleted anaplastic gliomas have variable clinical behavior. We have recently shown that the common 9p21.3 allelic loss is an independent prognostic factor in this tumor type. The aim of this study is to identify less frequent genomic copy number variations (CNVs) with clinical i...
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| Publicado no: | Oncologist |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
AlphaMed Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6292528/ https://ncbi.nlm.nih.gov/pubmed/30018130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1634/theoncologist.2017-0495 |
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