Ontology highlight
ABSTRACT:
SUBMITTER: Kling T
PROVIDER: S-EPMC5078587 | biostudies-literature | 2016 Oct
REPOSITORIES: biostudies-literature
Kling Teresia T Ferrarese Roberto R Ó hAilín Darren D Johansson Patrik P Heiland Dieter Henrik DH Dai Fangping F Vasilikos Ioannis I Weyerbrock Astrid A Jörnsten Rebecka R Carro Maria Stella MS Nelander Sven S
EBioMedicine 20160918
Glioblastomas are characterized by transcriptionally distinct subtypes, but despite possible clinical relevance, their regulation remains poorly understood. The commonly used molecular classification systems for GBM all identify a subtype with high expression of mesenchymal marker transcripts, strongly associated with invasive growth. We used a comprehensive data-driven network modeling technique (augmented sparse inverse covariance selection, aSICS) to define separate genomic, epigenetic, and t ...[more]