Graph-ETMB: A graph neural network-based model for tumour mutation burden estimation-Reference-Cited by-同舟云学术

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Graph-ETMB: A graph neural network-based model for tumour mutation burden estimation

Published:2023-08 Issue: Volume:105 Page:107900
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Yang Wanting,Qiang Yan,Wu Wei,Xin Jialong

Funder

National Natural Science Foundation of China

Applied Basic Research Project of Shanxi Province, China

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference40 articles.

1. Gene Ontology: tool for the unification of biology;Ashburner;Nat. Genet.,2000

2. The logrank test;Bland;BMJ,2004

3. Prognostic impact of tumour mutational burden in resected stage I and II lung adenocarcinomas from a European Thoracic Oncology Platform Lungscape cohort;Bubendorf;Lung Cancer,2022

4. Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic;Chan;Ann. Oncol.,2019

5. MSK-IMPACT: a hybridization capture-based next-generation sequencing clinical assay for solid tumor molecular oncology;Cheng;J. Mol. Diagn. Jmd,2015

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1. Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends;Cancers;2023-12-15

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