{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00186588","sets":["1164:5352:9434:9435"]},"path":["9435"],"owner":"11","recid":"186588","title":["スペクトラルグラフ理論を応用した1細胞RNA-seqデータのトップダウン型クラスタリング"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-02"},"_buckets":{"deposit":"8c81e621-8e29-4427-bd3e-a27bddca23b8"},"_deposit":{"id":"186588","pid":{"type":"depid","value":"186588","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"スペクトラルグラフ理論を応用した1細胞RNA-seqデータのトップダウン型クラスタリング","author_link":["419028","419029","419030"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スペクトラルグラフ理論を応用した1細胞RNA-seqデータのトップダウン型クラスタリング"}]},"item_type_id":"4","publish_date":"2018-03-02","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学医学部"},{"subitem_text_value":"大阪大学医学部／大阪大学大学院医学系研究科"},{"subitem_text_value":"大阪大学医学部／大阪大学大学院医学系研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Medicine, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Medicine, Osaka University / Graduate School of Medicine, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Medicine, Osaka University / Graduate School of Medicine, Osaka 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/186588/files/IPSJ-BIO18053011.pdf","label":"IPSJ-BIO18053011.pdf"},"date":[{"dateType":"Available","dateValue":"2020-03-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO18053011.pdf","filesize":[{"value":"211.7 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":"3e80de0b-84d4-441c-868c-d84754f97962","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蒲原, 純"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加藤, 有己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"河原, 行郎"}],"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":"近年，1 細胞単位での RNA シークエンシング技術 （RNA-seq） が確立され，細胞の遺伝子発現レベルがトランスクリプトーム網羅的に説明できるようになった．古典的な教師なし学習により，与えられた細胞集団を発現データに基づき既知の範疇である程度クラスタリングできるものの，1 細胞発現データにはノイズやドロップアウトが存在するため，高精度の細胞分類を行うためには高度な数理的手法が必要である．本稿では，1 細胞 RNA-seq データに対し，トップダウン型の階層的クラスタリングを行うアルゴリズムを提案する．ここで，スペクトラルグラフ理論を応用し，細胞集団からなる重み付きグラフを 2 つの同質な部分集団に分割するための最小カットの計算を再帰的に実行する．公開されている1細胞 RNA-seq データセットを用いて提案手法を評価したところ，良いクラスタリング精度を示した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2018-BIO-53"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":186588,"updated":"2025-01-20T02:32:19.448461+00:00","links":{},"created":"2025-01-19T00:53:31.897281+00:00"}