Availability of GFA for the selection of prognostic miRNAs in the development of cancer survival prediction models: TCGA glioblastoma study. ( A ) Analytical outline of survival prediction using TCGA glioblastoma data sets. ( B ) Examples of Kaplan–Meier plots representing survival probabilities according to low or high levels of risk scores developed by (i) the ‘expression level-based’ strategy and (ii) the ‘expression level/GFA-based’ strategy in a training set and a test set. ( C ) Likelihood ratio of survival prediction models developed by (i) the ‘expression level-based’ strategy and (ii) the ‘expression level/GFA-based’ strategy in training sets and test sets. Positive numbers indicate that the model fits the data better. Results with five randomizations are shown. ( D ) Time-dependent prediction errors of survival prediction models developed by (i) the ‘expression level-based’ strategy and (ii) the ‘expression level/GFA-based’ strategy in training sets and test sets. Average results with five randomizations are shown.