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 en:Sci Rep
Autores principales: Dabrowski, Michal J., Draminski, Michal, Diamanti, Klev, Stepniak, Karolina, Mozolewska, Magdalena A., Teisseyre, Paweł, Koronacki, Jacek, Komorowski, Jan, Kaminska, Bozena, Wojtas, Bartosz
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Publishing Group UK 2018
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Article
Acceso en línea: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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