Cancer survival prognosis with Deep Bayesian Perturbation Cox Network

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Zhongyue Zhang, Hua Chai, Yi Wang, Zixiang Pan, Yuedong Yang

Published: 01 Jan 2022, Last Modified: 30 Sept 2024Comput. Biol. Medicine 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•DBP introduced the Bayesian prior information to correct the estimation bias caused by censored samples.•Inspired from dropout, DBP introduces the Perturbation mechanism and approximates integral through sampling.•Analyzing the problem of applying existing Cox neural network methods to omics data.