Identification by genetic algorithm optimized back propagation artificial neural network and validation of a four-gene signature for diagnosis and prognosis of pancreatic cancer-Reference-Cited by-同舟云学术

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Identification by genetic algorithm optimized back propagation artificial neural network and validation of a four-gene signature for diagnosis and prognosis of pancreatic cancer

Published:2022-11 Issue:11 Volume:8 Page:e11321
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Li Zhenchong^ORCID,Ma Zuyi,Zhou Qi,Wang Shujie,Yan Qian,Zhuang Hongkai,Zhou Zixuan,Liu Chunsheng,Wu Zhongshi,Zhao Jinglin,Huang Shanzhou,Zhang Chuanzhao,Hou Baohua

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference42 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA A Cancer J. Clin.,2018

2. Addressing the challenges of pancreatic cancer: future directions for improving outcomes;Hidalgo;Pancreatology,2015

3. World Cancer Report 2014;McGuire,2015

4. Pancreatic cancer: advances in treatment;Mohammed;World J. Gastroenterol.,2014

5. Diagnosis and management of pancreatic cancer;De La Cruz;Am. Fam. Physician,2014

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