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Fig. 1 | BMC Medical Genomics

Fig. 1

From: Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

Fig. 1

Experimental results with a GBM and b OV cancer in C-index. Boxplots of C-index of a TCGA GBM dataset and b TCGA OV cancer dataset using Cox-EN, SurvivalNet, Cox-nnet, and Cox-PASNet. On each experiment, the dataset was randomly selected: 20% for the test data, and the remaining 80% data were split into training (80%) and validation (20%), while ensuring the same censoring percentage on each training, validation, and test data. The experiments were repeated over 20 times

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