Landscape of driver gene events, biomarkers, and druggable targets identified by whole-genome sequencing of glioblastomas.

Wesley S van de Geer Youri HoogstrateKaspar DraaismaPierre A RobeSander Bins Ron H J Mathijssen Pim J French Harmen J G van de Werken Filip Yves Francine De Vos

Published in: Neuro-oncology advances (2021)

With high-quality WGS data and comprehensive methods, we identified the landscape of driver gene events and druggable targets in glioblastoma patients.

Keyphrases

end stage renal disease
copy number
ejection fraction
genome wide
chronic kidney disease
single cell
peritoneal dialysis
genome wide identification
gene expression
machine learning
transcription factor
artificial intelligence
deep learning
data analysis