Identification of epithelial-related artificial neural network prognostic models for the prediction of bladder cancer prognosis through comprehensive analysis of single-cell and bulk RNA sequencing-Reference-Cited by-同舟云学术

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Identification of epithelial-related artificial neural network prognostic models for the prediction of bladder cancer prognosis through comprehensive analysis of single-cell and bulk RNA sequencing

Published:2024-08 Issue:15 Volume:10 Page:e34632
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Zhao Fan,Zhang Kun,Ma Limin,Huang Yeqing

Publisher

Elsevier BV

Reference83 articles.

1. Current best practice for bladder cancer: a narrative review of diagnostics and treatments;Compérat;Lancet (London, England),2022

2. Global cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality Worldwide for 36 cancers in 185 Countries;Sung;CA: a cancer journal for clinicians,2021

3. Treatment of muscle-invasive and advanced bladder cancer in 2020;Patel;CA: a cancer journal for clinicians,2020

4. Key concerns about the current state of bladder cancer: a position paper from the bladder cancer Think Tank, the bladder cancer Advocacy network, and the Society of urologic Oncology;Lotan;Cancer,2009

5. Diagnosis and staging of bladder cancer;Sun;Hematol. Oncol. Clin. N. Am.,2015

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