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Nonetheless, the above correlations via wet experiments are error-prone and labor-intensive, and the underlying novel circRNA\u2013miRNA association (CMA) has been validated by numerous existing computational methods that rely only on single correlation data. Considering the inadequacy of existing machine learning models, we propose a new model named BGF-CMAP, which combines the gradient boosting decision tree with natural language processing and graph embedding methods to infer associations between circRNAs and miRNAs. Specifically, BGF-CMAP extracts sequence attribute features and interaction behavior features by Word2vec and two homogeneous graph embedding algorithms, large-scale information network embedding and graph factorization, respectively. Multitudinous comprehensive experimental analysis revealed that BGF-CMAP successfully predicted the complex relationship between circRNAs and miRNAs with an accuracy of 82.90% and an area under receiver operating characteristic of 0.9075. Furthermore, 23 of the top 30 miRNA-associated circRNAs of the studies on data were confirmed in relevant experiences, showing that the BGF-CMAP model is superior to others. BGF-CMAP can serve as a helpful model to provide a scientific theoretical basis for the study of CMA prediction.<\/jats:p>","DOI":"10.1093\/bib\/bbae058","type":"journal-article","created":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T08:55:07Z","timestamp":1709283307000},"source":"Crossref","is-referenced-by-count":17,"title":["Biolinguistic graph fusion model for circRNA\u2013miRNA association prediction"],"prefix":"10.1093","volume":"25","author":[{"given":"Lu-Xiang","family":"Guo","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology , Xuzhou, 221116 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0184-307X","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology , Xuzhou, 221116 , China"},{"name":"Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences , Nanning 530007 , China"},{"name":"College of Information Science and Engineering, Zaozhuang University , Shandong 277100 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1266-2696","authenticated-orcid":false,"given":"Zhu-Hong","family":"You","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University , Xi\u2019an, 710129 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang-Qing","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Xijing University , Xi\u2019an 710123 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Lei","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Medicine, Peking University , Beijing, 100091 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8200-6016","authenticated-orcid":false,"given":"Bo-Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences , Urumqi 830011 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology , Hefei 230601 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"key":"2024030108545803500_ref1","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1038\/280339a0","article-title":"Electron microscopic evidence for the circular form of RNA in the cytoplasm of eukaryotic 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