{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00069668","sets":["1164:5352:6035:6114"]},"path":["6114"],"owner":"10","recid":"69668","title":["RNA-RNA Interaction Prediction Using Integer Programming with Threshold Cut"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-06-11"},"_buckets":{"deposit":"4eedbcd0-af10-49db-9716-99023ddfb636"},"_deposit":{"id":"69668","pid":{"type":"depid","value":"69668","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"RNA-RNA Interaction Prediction Using Integer Programming with Threshold Cut","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"RNA-RNA Interaction Prediction Using Integer Programming with Threshold Cut"},{"subitem_title":"RNA-RNA Interaction Prediction Using Integer Programming with Threshold Cut","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2010-06-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Bioinformatics Center, Institute for Chemical Research, Kyoto University"},{"subitem_text_value":"Graduate School of Frontier Sciences, University of Tokyo"},{"subitem_text_value":"Mizuho Information & Research Institute, Inc／Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)"},{"subitem_text_value":"Department of Mathematical Sciences, Faculty of Science and Engineering, Doshisha University"},{"subitem_text_value":"Graduate School of Frontier Sciences, University of Tokyo／Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)"},{"subitem_text_value":"Bioinformatics Center, Institute for Chemical Research, Kyoto University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Bioinformatics Center, Institute for Chemical Research, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Frontier Sciences, University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Mizuho Information & Research Institute, Inc / Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"Department of Mathematical Sciences, Faculty of Science and Engineering, Doshisha University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Frontier Sciences, University of Tokyo / Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"Bioinformatics Center, Institute for Chemical Research, Kyoto University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/69668/files/IPSJ-BIO10021032.pdf"},"date":[{"dateType":"Available","dateValue":"2012-06-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO10021032.pdf","filesize":[{"value":"169.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e675fd47-17dd-4e8c-949a-3a5ebe793981","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2010 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Kato"},{"creatorName":"Kengo, Sato"},{"creatorName":"Michiaki, Hamada"},{"creatorName":"Yoshihide, Watanabe"},{"creatorName":"Kiyoshi, Asai"},{"creatorName":"Tatsuya, Akutsu"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Kato","creatorNameLang":"en"},{"creatorName":"Kengo, Sato","creatorNameLang":"en"},{"creatorName":"Michiaki, Hamada","creatorNameLang":"en"},{"creatorName":"Yoshihide, Watanabe","creatorNameLang":"en"},{"creatorName":"Kiyoshi, Asai","creatorNameLang":"en"},{"creatorName":"Tatsuya, Akutsu","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Much attention has been focused on predicting RNA-RNA interaction since it is a key to identifying possible targets of noncoding small RNAs that regulate gene expression post-transcriptionally. A number of computational studies have so far been devoted to predicting joint secondary structures or binding sites under a specific class of interactions. In this technical report, we propose RactIP, a fast and accurate prediction method for RNA-RNA interaction of general type based on integer programming. RactIP can integrate approximate information on an ensemble of equilibrium joint structures into the objective function using posterior internal and external base paring probabilities. Experimental results show that prediction accuracy of RactIP is at least comparable to that of several state-of-the-art methods for RNA-RNA interaction prediction. Moreover, we demonstrate that RactIP can run incomparably faster than competitive methods for predicting joint secondary structures.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Much attention has been focused on predicting RNA-RNA interaction since it is a key to identifying possible targets of noncoding small RNAs that regulate gene expression post-transcriptionally. A number of computational studies have so far been devoted to predicting joint secondary structures or binding sites under a specific class of interactions. In this technical report, we propose RactIP, a fast and accurate prediction method for RNA-RNA interaction of general type based on integer programming. RactIP can integrate approximate information on an ensemble of equilibrium joint structures into the objective function using posterior internal and external base paring probabilities. Experimental results show that prediction accuracy of RactIP is at least comparable to that of several state-of-the-art methods for RNA-RNA interaction prediction. Moreover, we demonstrate that RactIP can run incomparably faster than competitive methods for predicting joint secondary structures.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2010-06-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"32","bibliographicVolumeNumber":"2010-BIO-21"}]},"relation_version_is_last":true,"weko_creator_id":"10"},"id":69668,"updated":"2025-01-21T23:50:06.368997+00:00","links":{},"created":"2025-01-18T23:29:04.753598+00:00"}