Identification of subtypes in digestive system tumors based on multi-omics data and graph convolutional network-Reference-Cited by-同舟云学术

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Identification of subtypes in digestive system tumors based on multi-omics data and graph convolutional network

Published:2024-03-14 Issue:9 Volume:15 Page:3567-3577
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Zhou Lin,Wang Ning,Zhu Zhengzhi,Gao Hongbo,Zhou Yi,Fang Mingxing

Funder

Anhui Engineering Research Center on Information Fusion and Control of Intelligent Robot

National Natural Science Foundation of China

Natural Science Foundation of Hefei, China

Anhui Province Natural Science Funds for Distinguished Young Scholar

Science and Technology Innovation 2030 - "New Generation Artificial Intelligence" Major Project

CAAI-Huawei Mind Spore Open Fund

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13042-024-02109-3.pdf

Reference45 articles.

1. Arnold M, Abnet CC, Neale RE, Vignat J, Giovannucci EL, McGlynn KA, Bray F (2020) Global burden of 5 major types of gastrointestinal cancer. Gastroenterology 159(1):335–34915

2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F (2021) Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer J Clin 71(3):209–249

3. Liu Y, Sethi NS, Hinoue T, Schneider BG, Cherniack AD, Sanchez-Vega F, Seoane JA, Farshidfar F, Bowlby R, Islam M (2018) Comparative molecular analysis of gastrointestinal adenocarcinomas. Cancer Cell 33(4):721–7358

4. Xie Y, Shi L, He X, Luo Y (2021) Gastrointestinal cancers in China, the USA, and Europe. Gastroenterol Rep 9(2):91–104

5. Zhao L, Lee VH, Ng MK, Yan H, Bijlsma MF (2019) Molecular subtyping of cancer: current status and moving toward clinical applications. Brief Bioinf 20(2):572–584

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1. Omics data classification using constitutive artificial neural network optimized with single candidate optimizer;Network: Computation in Neural Systems;2024-05-12

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