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Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival
In order to find clinically useful prognostic markers for glioma patients’ survival, we employed Monte Carlo Feature Selection and Interdependencies Discovery (MCFS-ID) algorithm on DNA methylation (HumanMethylation450 platform) and RNA-seq datasets from The Cancer Genome Atlas (TCGA) for 88 patient...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5849697/ https://ncbi.nlm.nih.gov/pubmed/29535343 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-22829-1 |
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