Heterogeneous graph inference based on similarity network fusion for predicting lncRNA–miRNA interaction

Author:

Fan Yongxian1234ORCID,Cui Juan1234,Zhu QingQi1234ORCID

Affiliation:

1. School of Computer and Information Security

2. Guilin University of Electronic Technology

3. Guilin 541004

4. China

Abstract

LncRNA and miRNA are two non-coding RNA types that are popular in current research.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Guilin University of Electronic Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Cited by 9 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. Predicting Plant miRNA-lncRNA Interactions via a Deep Learning Method;IEEE Transactions on NanoBioscience;2023-10

2. A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-09-01

3. SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder;Cells;2022-12-09

4. A Transformer-based Model for Plant miRNA-lncRNA Interaction Prediction;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

5. BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction;Interdisciplinary Sciences: Computational Life Sciences;2022-08-10

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