CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis-Reference-Cited by-同舟云学术

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CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis

Published:2023-12-01 Issue: Volume:6 Page:458-467
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
language:
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Author:

Luo Jinyuan¹,Xiao Zikai¹,Shi Wen¹,Xie Linhai²,Yang Hong¹,Yin Xiaoxia¹,Zhang Yanchun³

Affiliation:

1. The Cyberspace Institute of Advanced Technology, Guangzhou University,Guangzhou,China

2. State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing),Beijing,China

3. Zhejiang Normal University,School of Computer Science and Technology,Hangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415693.pdf?arnumber=10415693

Reference38 articles.

1. Characterizing the tumor microenvironment at the single-cell level reveals a novel immune evasion mechanism in osteosarcoma

2. Central Dogma of Molecular Biology

3. Dynamics of cancer progression

4. Day-night and seasonal variation of human gene expression across tissues

5. Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis

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