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Recently, dual functional lncRNAs have been intensively studied and identified as involved in various fundamental cellular processes. However, apart from time-consuming and cell-type-specific experiments, there is virtually no in silico method for predicting the identity of dual functional lncRNAs. Here, we developed a deep-learning model with a multi-head self-attention mechanism, LncReader, to identify dual functional lncRNAs. Our data demonstrated that LncReader showed multiple advantages compared to various classical machine learning methods using benchmark datasets from our previously reported cncRNAdb project. Moreover, to obtain independent in-house datasets for robust testing, mass spectrometry proteomics combined with RNA-seq and Ribo-seq were applied in four leukaemia cell lines, which further confirmed that LncReader achieved the best performance compared to other tools. Therefore, LncReader provides an accurate and practical tool that enables fast dual functional lncRNA identification.<\/jats:p>","DOI":"10.1093\/bib\/bbac579","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T04:41:50Z","timestamp":1672202510000},"source":"Crossref","is-referenced-by-count":11,"title":["LncReader: identification of dual functional long noncoding RNAs using a multi-head self-attention mechanism"],"prefix":"10.1093","volume":"24","author":[{"given":"Tianyuan","family":"Liu","sequence":"first","affiliation":[{"name":"Shenzhen Children\u2019s Hospital Department of Hematology and Oncology, , Shenzhen 518038 , China"},{"name":"Southern Medical University Department of Bioinformatics, School of Basic Medical Sciences, , Guangzhou 510515 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bohao","family":"Zou","sequence":"additional","affiliation":[{"name":"Southern Medical University Department of Bioinformatics, School of Basic Medical Sciences, , Guangzhou 510515 , China"},{"name":"University of California Davis, Davis Department of Statistics, , California , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manman","family":"He","sequence":"additional","affiliation":[{"name":"CAMS and Peking Union Medical College State Key Laboratory of Medical Molecular Biology, Key Laboratorytar of RNA Regulation and Hematopoiesis, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, School of Basic Medicine, , Beijing 100005 , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongfei","family":"Hu","sequence":"additional","affiliation":[{"name":"Southern Medical University Department of Bioinformatics, School of Basic Medical Sciences, , Guangzhou 510515 , China"},{"name":"Southern Medical University Dermatology Hospital, , Guangzhou, 510091 , 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