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Although many methods, including traditional machine learning and deep learning, have been developed to predict associations between circRNAs and diseases, the biological function of circRNAs has not been fully exploited. Some methods have explored disease-related circRNAs based on different views, but how to efficiently use the multi-view data about circRNA is still not well studied. Therefore, we propose a computational model to predict potential circRNA\u2013disease associations based on collaborative learning with circRNA multi-view functional annotations. First, we extract circRNA multi-view functional annotations and build circRNA association networks, respectively, to enable effective network fusion. Then, a collaborative deep learning framework for multi-view information is designed to get circRNA multi-source information features, which can make full use of the internal relationship among circRNA multi-view information. We build a network consisting of circRNAs and diseases by their functional similarity and extract the consistency description information of circRNAs and diseases. Last, we predict potential associations between circRNAs and diseases based on graph auto encoder. Our computational model has better performance in predicting candidate disease-related circRNAs than the existing ones. Furthermore, it shows the high practicability of the method that we use several common diseases as case studies to find some unknown circRNAs related to them. The experiments show that CLCDA can efficiently predict disease-related circRNAs and are helpful for the diagnosis and treatment of human disease.<\/jats:p>","DOI":"10.1093\/bib\/bbad069","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T15:15:22Z","timestamp":1677510922000},"source":"Crossref","is-referenced-by-count":43,"title":["Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information"],"prefix":"10.1093","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2766-3106","authenticated-orcid":false,"given":"Yongtian","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science at Northwestern Polytechnical University , Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinmeng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science at Northwestern Polytechnical University , Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yewei","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science at Northwestern Polytechnical University , Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuerui","family":"Song","sequence":"additional","affiliation":[{"name":"children\u2019s health prevention department of Xi\u2019an Children\u2019s Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5728-6463","authenticated-orcid":false,"given":"Tao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science at Northwestern Polytechnical University , Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuequn","family":"Shang","sequence":"additional","affiliation":[{"name":"School of Computer Science at Northwestern Polytechnical University , Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3857-7927","authenticated-orcid":false,"given":"Jiajie","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer Science at Northwestern Polytechnical University , Xi\u2019an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"2023032004555766000_","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 Cell"},{"key":"2023032004555766000_","doi-asserted-by":"crossref","first-page":"bbab286","DOI":"10.1093\/bib\/bbab286","article-title":"Circular RNAs and complex diseases: from experimental results to computational models","volume":"22","author":"Wang","year":"2021","journal-title":"Brief 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