{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T06:59:57Z","timestamp":1784185197780,"version":"3.55.0"},"reference-count":33,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172355"],"award-info":[{"award-number":["62172355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702444"],"award-info":[{"award-number":["61702444"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSFC Excellent Young Scholars Program","award":["61722212"],"award-info":[{"award-number":["61722212"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,20]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Circular RNAs (circRNAs) are involved in the regulatory mechanisms of multiple complex diseases, and the identification of their associations is critical to the diagnosis and treatment of diseases. In recent years, many computational methods have been designed to predict circRNA-disease associations. However, most of the existing methods rely on single correlation data. Here, we propose a machine learning framework for circRNA-disease association prediction, called MLCDA, which effectively fuses multiple sources of heterogeneous information including circRNA sequences and disease ontology. Comprehensive evaluation in the gold standard dataset showed that MLCDA can successfully capture the complex relationships between circRNAs and diseases and accurately predict their potential associations. In addition, the results of case studies on real data show that MLCDA significantly outperforms other existing methods. MLCDA can serve as a useful tool for circRNA-disease association prediction, providing mechanistic insights for disease research and thus facilitating the progress of disease treatment.<\/jats:p>","DOI":"10.1093\/bib\/bbac388","type":"journal-article","created":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T23:59:24Z","timestamp":1662595164000},"source":"Crossref","is-referenced-by-count":46,"title":["A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction"],"prefix":"10.1093","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0184-307X","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"first","affiliation":[{"name":"Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences , Nanning, 530007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leon","family":"Wong","sequence":"additional","affiliation":[{"name":"Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences , Nanning, 530007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengwei","family":"Li","sequence":"additional","affiliation":[{"name":"Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences , Nanning, 530007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5346-2394","authenticated-orcid":false,"given":"Yuan","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Computing, Hong Kong Polytechnic University , Hong Kong 999077, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5468-6085","authenticated-orcid":false,"given":"Xiaorui","family":"Su","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences , Urumqi 830011, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8200-6016","authenticated-orcid":false,"given":"Bowei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences , Urumqi 830011, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuhong","family":"You","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University , Xi\u2019an 710129, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,9,7]]},"reference":[{"key":"2022092013235182000_ref1","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.molcel.2018.06.034","article-title":"The biogenesis, functions, and challenges of circular RNAs","volume":"71","author":"Li","year":"2018","journal-title":"Mol 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