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Current computational techniques to predict the potential associations between small molecule and miRNA are not that accurate. Here, we proposed a new computational method based on a deep autoencoder and a scalable tree boosting model (DAESTB), to predict associations between small molecule and miRNA. First, we constructed a high-dimensional feature matrix by integrating small molecule\u2013small molecule similarity, miRNA\u2013miRNA similarity and known small molecule\u2013miRNA associations. Second, we reduced feature dimensionality on the integrated matrix using a deep autoencoder to obtain the potential feature representation of each small molecule\u2013miRNA pair. Finally, a scalable tree boosting model is used to predict small molecule and miRNA potential associations. The experiments on two datasets demonstrated the superiority of DAESTB over various state-of-the-art methods. DAESTB achieved the best AUC value. Furthermore, in three case studies, a large number of predicted associations by DAESTB are confirmed with the public accessed literature. We envision that DAESTB could serve as a useful biological model for predicting potential small molecule\u2013miRNA associations.<\/jats:p>","DOI":"10.1093\/bib\/bbac478","type":"journal-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T12:11:37Z","timestamp":1668514297000},"source":"Crossref","is-referenced-by-count":50,"title":["DAESTB: inferring associations of small molecule\u2013miRNA via a scalable tree boosting model based on deep autoencoder"],"prefix":"10.1093","volume":"23","author":[{"given":"Li","family":"Peng","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Hunan University of Science and Technology , Xiangtan, 411201, Hunan , China"},{"name":"Hunan Key Laboratory for Service computing and Novel Software Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Tu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Hunan University of Science and Technology , Xiangtan, 411201, Hunan , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Huang","sequence":"additional","affiliation":[{"name":"Academy of Arts and Design, Tsinghua University , Beijing, 10084 , China"},{"name":"The Future Laboratory, Tsinghua University , Beijing, 10084 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University , Xiangtan, 411105 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangzheng","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Hunan University , Changsha, 410082, Hunan , China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of 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