{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T23:19:29Z","timestamp":1776554369655,"version":"3.51.2"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2022,9,24]],"date-time":"2022-09-24T00:00:00Z","timestamp":1663977600000},"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":["61872418"],"award-info":[{"award-number":["61872418"]}],"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":["71774154"],"award-info":[{"award-number":["71774154"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Understanding ncRNA\u2013protein interaction is of critical importance to unveil ncRNAs\u2019 functions. Here, we propose an integrated package LION which comprises a new method for predicting ncRNA\/lncRNA\u2013protein interaction as well as a comprehensive strategy to meet the requirement of customisable prediction. Experimental results demonstrate that our method outperforms its competitors on multiple benchmark datasets. LION can also improve the performance of some widely used tools and build adaptable models for species- and tissue-specific prediction. We expect that LION will be a powerful and efficient tool for the prediction and analysis of ncRNA\/lncRNA\u2013protein interaction. The R Package LION is available on GitHub at https:\/\/github.com\/HAN-Siyu\/LION\/.<\/jats:p>","DOI":"10.1093\/bib\/bbac420","type":"journal-article","created":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T08:49:09Z","timestamp":1664182149000},"source":"Crossref","is-referenced-by-count":7,"title":["LION: an integrated R package for effective prediction of ncRNA\u2013protein interaction"],"prefix":"10.1093","volume":"23","author":[{"given":"Siyu","family":"Han","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, in Jilin University , China"}]},{"given":"Xiao","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University , Changchun, China"}]},{"given":"Hang","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University , Changchun, 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