Fig. 1: Cohort selection.
From: A deep learning model to predict glioma recurrence using integrated genomic and clinical data
This study included patients with clinical, mRNA-expression, and somatic mutation data in the TCGA and GLASS datasets. *Explicit recurrence indicators include a recurrent tumor sample present in the dataset, NTE type equal to Recurrence or Locoregional Disease, and DFI event equal to one.
