The use of whole-brain network topology and weighted gene coexpression analysis to identify potential imaging and molecular markers for glioma grading | Synapse
Developed glioma grading models based on network topology
Identified novel imaging markers that correlate with glioma grades
Revealed potential molecular markers associated with cancer progression
Proposed improved methodologies for cancer neuroscience assessments
Abstract
Wavelet-based individualized brain structural networks have been proposed for glioma grading models, resulting in novel imaging and molecular markers for cancer neuroscience.