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Fig. 3 | BMC Bioinformatics

Fig. 3

From: neoDL: a novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival

Fig. 3

Deep learning model predicts survival of GBM. A Deep learning model diagram. B Left, p value distribution representing − log (p value) (x-axis) and times (y-axis) for 300 times in cross validation of TCGA. Right, Reliability verification of the trained model in 300 repeats with each randomly selecting 60% GBMs in TCGA. C, D Survival of GBMs stratified by the trained model in C TCGA cohort and D Pri cohort. Red line is the prediction label of 0, and blue line is 1. p value was from log-rank test. n is number of GBMs

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BMC Bioinformatics

ISSN: 1471-2105

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