{"updated":"2025-01-19T15:04:53.530359+00:00","links":{},"created":"2025-01-19T01:19:02.535900+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218688","sets":["1164:5352:10882:10963"]},"path":["10963"],"owner":"44499","recid":"218688","title":["疾患特異的遺伝子発現データに対する機械学習と教師なしクラスタリングを用いた新しい2段階のドラッグリポジショニング予測法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-06-20"},"_buckets":{"deposit":"cf938e9e-30e6-4291-84a7-0a543ba81094"},"_deposit":{"id":"218688","pid":{"type":"depid","value":"218688","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"疾患特異的遺伝子発現データに対する機械学習と教師なしクラスタリングを用いた新しい2段階のドラッグリポジショニング予測法","author_link":["569294","569291","569298","569299","569296","569293","569295","569297","569292","569300"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"疾患特異的遺伝子発現データに対する機械学習と教師なしクラスタリングを用いた新しい2段階のドラッグリポジショニング予測法"},{"subitem_title":"A New Approach to Drug Repurposing with Two-Stage Prediction, Machine Learning, and Unsupervised Clustering of Gene Expression","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-06-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北海道大学院・情報科学・情報生物学研究室"},{"subitem_text_value":"北海道大学院・情報科学・情報生物学研究室"},{"subitem_text_value":"北海道大学院・情報科学・情報生物学研究室"},{"subitem_text_value":"北海道大学院・情報科学・情報生物学研究室"},{"subitem_text_value":"北海道大学院・情報科学・情報生物学研究室"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Info. Biol. Lab., Grad. Sch. of IST, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Info. Biol. Lab., Grad. Sch. of IST, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Info. Biol. Lab., Grad. Sch. of IST, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Info. Biol. Lab., Grad. Sch. of IST, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Info. Biol. Lab., Grad. Sch. of IST, Hokkaido University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/218688/files/IPSJ-BIO22070058.pdf","label":"IPSJ-BIO22070058.pdf"},"date":[{"dateType":"Available","dateValue":"2024-06-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO22070058.pdf","filesize":[{"value":"815.5 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":"4dd3187b-a002-48d0-91ce-862bc6c72573","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"丛, 怡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新谷, 美咲"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"今成, 楓河"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長田, 直樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"遠藤, 俊徳"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yi, Cong","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Misaki, Shintani","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Fuga, Imanari","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoki, Osada","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Toshinori, Endo","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ドラッグリポジショニングは，複雑な疾患に対する新しい治療法を見つけるための強力な選択肢として，プラネタリーヘルスにとって幅広い重要性を持っている．本研究では，機械学習を用いて新しい 2 段階のドラッグリポジショニング予測法の提案を目的とする．従来報告された方法より，実用化への適用範囲が広く，主観的なスクリーニングによらない発見が期待できる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"3","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-06-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"58","bibliographicVolumeNumber":"2022-BIO-70"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218688}