Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks-Reference-Cited by-同舟云学术

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Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Li Yang¹,Hu Xue-Gang¹,Li Pei-Pei¹,Wang Lei²,You Zhu-Hong³

Affiliation:

1. Hefei University of Technology,School of Computer Science and Information Engineering,Hefei,China,230601

2. Big Data and Intelligent Computing Research Center Guangxi Academy of Sciences),Nanning,China,530007

3. Northwestern Polytechnical University,School of Computer Science,Xi’an,China,710129

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995674.pdf?arnumber=9995674

Reference25 articles.

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

2. Complementary Sequence-Mediated Exon Circularization

3. Circular RNA vaccines against SARS-CoV-2 and emerging variants

4. Circular RNA: A potential diagnostic, prognostic, and therapeutic biomarker for human triple-negative breast cancer

5. An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations

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