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Such methods have shown significant advantages in multiple research tasks in this field. Therefore, it is necessary to summarize and discuss the application of these algorithms so that these algorithms are convenient and contribute to bioinformatics. In this paper, the characteristics of LTR algorithms and their strengths over other types of algorithms are analyzed based on the application of multiple perspectives in bioinformatics. Finally, the paper further discusses the shortcomings of the LTR algorithms, the methods and means to better use the algorithms and some open problems that currently exist.<\/jats:p>","DOI":"10.1093\/bib\/bbaa394","type":"journal-article","created":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T13:09:22Z","timestamp":1606914562000},"source":"Crossref","is-referenced-by-count":11,"title":["Application of learning to rank in bioinformatics tasks"],"prefix":"10.1093","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2968-6435","authenticated-orcid":false,"given":"Xiaoqing","family":"Ru","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan, 3058577"}]},{"given":"Xiucai","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan, 3058577"}]},{"given":"Tetsuya","family":"Sakurai","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Tsukuba, Tsukuba, Japan, 3058577"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6406-1142","authenticated-orcid":false,"given":"Quan","family":"Zou","sequence":"additional","affiliation":[{"name":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China, 610054"},{"name":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, Zhejiang, China, 324000"},{"name":"Hainan Key Laboratory for Computational Science and Application, Hainan Normal University, Haikou, China, 571158"}]}],"member":"286","published-online":{"date-parts":[[2021,1,18]]},"reference":[{"issue":"2","key":"2021090907103450300_ref1","first-page":"459","article-title":"Learning to rank for information retrieval and natural language processing","volume":"38","author":"Goutte","year":"2012","journal-title":"Computl 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