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Computational frameworks that incorporate SP data in RNA secondary structure prediction are also presented.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We finally discuss potential directions for improvement in the prediction and differential analysis of RNA secondary structure.<\/jats:p><\/jats:sec>","DOI":"10.1007\/s40484-020-0205-6","type":"journal-article","created":{"date-parts":[[2020,5,9]],"date-time":"2020-05-09T10:02:40Z","timestamp":1589018560000},"page":"109-118","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Prediction and differential analysis of RNA secondary structure"],"prefix":"10.1002","volume":"8","author":[{"given":"Bo","family":"Yu","sequence":"first","affiliation":[{"name":"<!--1--> Center for Statistical Science Tsinghua University Beijing 100084 China"},{"name":"<!--2--> Department of Industrial Engineering Tsinghua University Beijing 100084 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