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Algorithm Research & Explore
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2678-2682

Synthetic lethality prediction via supervised multi-view variational graph auto-encoder

Hao Zhifeng1,2
Wu Di1
Cai Ruichu1
Chen Xuexin1
Wen Wen1
1. School of Computer Science, Guangdong University of Technology, Guangzhou 510006, China
2. School of Mathematics & Big Data, Foshan University, Foshan Guangdong 528011, China

Abstract

Synthetic lethality is an important concept for the development of targeted anti-cancer drugs. Predicting synthetic lethality genes through computational methods can provide target guidance for biological research, thus improving research efficiency and reducing experimental costs. This paper proposed a general, multi-view variational graph auto-encoder framework to solve the synthetic lethality prediction problem. The algorithm introduced known synthetic lethality interactions as a supervise signal and performed supervised training on both local single-view data and global multi-view synthetic lethality graph reconstructions. Through supervised training, the algorithm found the latent representation associated with synthetic lethality in each view at a fine-grained level and fused them together for synthetic lethality prediction. Experimental results on the SynLethDB dataset demonstrate the effectiveness of the method.

Foundation Support

国家自然科学基金资助项目(61876043,61976052)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0017
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2678-2682
Serial Number: 1001-3695(2021)09-021-2678-05

Publish History

[2021-09-05] Printed Article

Cite This Article

郝志峰, 吴迪, 蔡瑞初, 等. 基于有监督的多视角变分图自编码器的协同致死基因预测算法 [J]. 计算机应用研究, 2021, 38 (9): 2678-2682. (Hao Zhifeng, Wu Di, Cai Ruichu, et al. Synthetic lethality prediction via supervised multi-view variational graph auto-encoder [J]. Application Research of Computers, 2021, 38 (9): 2678-2682. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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