Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification-Reference-Cited by-同舟云学术

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Multi-Network Graph Contrastive Learning for Cancer Driver Gene Identification

Published:2024-07 Issue:4 Volume:11 Page:3430-3440
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Peng Wei¹^ORCID,Zhou Zhengnan¹,Dai Wei¹^ORCID,Yu Ning²,Wang Jianxin³^ORCID

Affiliation:

1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

2. Department of Computing Sciences, College at Brockport, State University of New York, Brockport, NY, USA

3. School of Computer Science and Engineering, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Yunnan Province of China

Yunnan Ten Thousand Talents Plan young

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488902/10554364/10460160.pdf?arnumber=10460160

Reference45 articles.

1. Cancer Genome Landscapes

2. Discovery and saturation analysis of cancer genes across 21 tumour types

3. The Cancer Genome Atlas Pan-Cancer analysis project

4. The International Cancer Genome Consortium Data Portal

5. COSMIC: the Catalogue Of Somatic Mutations In Cancer

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MCDHGN: heterogeneous network-based cancer driver gene prediction and interpretability analysis;Bioinformatics;2024-06

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