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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Detalles Bibliográficos
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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849697/
https://www.ncbi.nlm.nih.gov/pubmed/29535343
http://dx.doi.org/10.1038/s41598-018-22829-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5849697/
https://www.ncbi.nlm.nih.gov/pubmed/29535343
http://dx.doi.org/10.1038/s41598-018-22829-1

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