LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations-Reference-Cited by-同舟云学术

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LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations

Published:2024-03 Issue:2 Volume:21 Page:289-300
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:

Wang Wenjing¹^ORCID,Han Pengyong²^ORCID,Li Zhengwei¹^ORCID,Nie Ru¹^ORCID,Wang Kangwei¹^ORCID,Wang Lei¹^ORCID,Liao Hongmei¹^ORCID

Affiliation:

1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China

2. Central Lab, Changzhi Medical College, Xi’an, Shanxi, China

Funder

Natural Science Foundation of Shandong Province

Shanxi Province Science Foundation for Youths

Changzhi Medical College Startup Fund for PhD faculty

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8857/10490288/10402011.pdf?arnumber=10402011

Reference54 articles.

1. Viroids are single-stranded covalently closed circular RNA molecules existing as highly base-paired rod-like structures.

2. Electron microscopic evidence for the circular form of RNA in the cytoplasm of eukaryotic cells

3. Circular RNAs are a large class of animal RNAs with regulatory potency

4. circRNA Biogenesis Competes with Pre-mRNA Splicing

5. Circular RNA circMTO1 acts as the sponge of microRNA-9 to suppress hepatocellular carcinoma progression

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