Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.
Journal:
Journal of cellular and molecular medicine
Published Date:
Apr 18, 2019
Abstract
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival outcome and associations with differentially expressed Genes (RNA Sequencing) in groups of glioblastoma multiforme (GBM) patients.
Authors
Keywords
Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Biomarkers, Tumor
Brain Neoplasms
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Genomics
Glioblastoma
Humans
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
Prognosis
Radiographic Image Interpretation, Computer-Assisted
ROC Curve
Survival Rate
Transcriptome
Young Adult