A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions-Reference-Cited by-同舟云学术

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A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions

Published:2024-12 Issue: Volume:23 Page:2924-2933
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Zhao Bo-Wei^ORCID,Su Xiao-Rui,Yang Yue^ORCID,Li Dong-Xu^ORCID,Li Guo-Dong,Hu Peng-Wei,Luo Xin^ORCID,Hu Lun

Publisher

Elsevier BV

Reference43 articles.

1. Wsnmf: weighted symmetric nonnegative matrix factorization for attributed graph clustering;Berahmand;Neurocomputing,2024

2. Lncrnadisease: a database for long-non-coding rna-associated diseases;Chen;Nucleic Acids Res,2012

3. Xgboost: a scalable tree boosting system;Chen,2016

4. Novel human lncRNA-disease association inference based on lncRNA expression profiles;Chen;Bioinformatics,2013

5. Ensemble of decision tree reveals potential miRNA-disease associations;Chen;PLoS Comput Biol,2019

Cited by 1 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. A deep convolutional neural network approach using medical image classification;BMC Medical Informatics and Decision Making;2024-08-29

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