Article
Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival.
Scientific reports - 13 Mar 2018
Dabrowski Michal J, Draminski Michal, Diamanti Klev, Stepniak Karolina, Mozolewska Magdalena A, Teisseyre Paweł, Koronacki Jacek, Komorowski Jan, Kaminska Bozena, Wojtas Bartosz
Abstract excerpt
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 patients observed until death. The input features were ranked according to their importance in predicting patients' longer...
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