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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Sci Rep
Egile Nagusiak: Dabrowski, Michal J., Draminski, Michal, Diamanti, Klev, Stepniak, Karolina, Mozolewska, Magdalena A., Teisseyre, Paweł, Koronacki, Jacek, Komorowski, Jan, Kaminska, Bozena, Wojtas, Bartosz
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Publishing Group UK 2018
Gaiak:
Article
Sarrera elektronikoa: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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