Fig. 1
From: Deep learning identified glioblastoma subtypes based on internal genomic expression ranks
All datasets and trained NNs used in the present study. Totally 10 datasets, including 9 TCGA GBM datasets with different expression forms and 1 additional GBM dataset (GSE84010). Totally 2 types of NNs were used: DNN and CDNN. At last 6 kinds of NNs were trained, including original-DNNs trained in the unified dataset without data unification; SND-DNN trained in the unified dataset with data unification; SND-CDNN trained in the unified dataset with data unification; SND-CDNN-Train2Sets, which are trained in the combined unified and validation datasets with data unification; SND-CDNN-Train9Sets, which are trained in the combined 9 TCGA GBM datasets with data unification; SND-CDNN-9Sets-IDH-WT. which are trained in the IDH wide type GBM samples in the SND-Train9Sets with data unification