GERWR: Identifying the Key Pathogenicity-associated sRNAs of Magnaporthe oryzae Infection in Rice Based on Graph Embedding and Random Walk with Restart-Reference-Cited by-同舟云学术

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GERWR: Identifying the Key Pathogenicity-associated sRNAs of Magnaporthe oryzae Infection in Rice Based on Graph Embedding and Random Walk with Restart

Published:2023 Issue: Volume: Page:1-14
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Zhang Hao¹^ORCID,Jiao Jiao²,Zhao Tianheng²,Zhao Enshuang²,Li Lanhui³,Li Guihua³,Zhang Borui⁴,Qin Qing-Ming⁵

Affiliation:

1. School of Computer Science and Technology, the Key Laboratory of Symbol Computation and Knowledge Engineering, Ministry of Education, China

2. School of Computer Science and Technology, Jilin University, Changchun, China

3. School of Plant Sciences and Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China

4. Department of Electrical Engineering and Computer Science, Missouri-Columbia University, Columbia, MO, USA

5. Department of Molecular Microbiology and Immunology, School of Medicine, Missouri University, Columbia, Missouri, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/10375771.pdf?arnumber=10375771

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