{"links":{},"id":2002711,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02002711","sets":["1164:5352:1740054670081:1749434252473"]},"path":["1749434252473"],"owner":"80578","recid":"2002711","title":["ゲノム解析における射影手法：テンソル分解と主成分分析の特徴選択ツールとしての理論的根拠"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-06-14"},"_buckets":{"deposit":"61d9a3d4-1fbc-4d52-a5b9-cdd08eb0afd4"},"_deposit":{"id":"2002711","pid":{"type":"depid","value":"2002711","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"ゲノム解析における射影手法：テンソル分解と主成分分析の特徴選択ツールとしての理論的根拠","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ゲノム解析における射影手法：テンソル分解と主成分分析の特徴選択ツールとしての理論的根拠","subitem_title_language":"ja"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"バイオ情報学（IPSJ-BIO）1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-06-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"中央大学"},{"subitem_text_value":"キング・アブドゥルアズィーズ大学"}]},"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/2002711/files/IPSJ-BIO25082035.pdf","label":"IPSJ-BIO25082035.pdf"},"date":[{"dateType":"Available","dateValue":"2027-06-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO25082035.pdf","filesize":[{"value":"882.1 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":"c180e246-a760-4487-9f04-501f06edc043","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田口,善弘"}]},{"creatorNames":[{"creatorName":"ターキー,ターキー"}]}]},"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":"本レポートは、Y-h. TaguchiとTurki Turkiによる論文「Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools [1]」を基に、ゲノム解析における射影追跡（PP）、主成分分析（PCA）、およびテンソル分解（TD）に基づく非教師特徴抽出（FE）の理論的根拠をまとめる。これらの手法は、統計的検定に基づく従来の手法と比較して優れた性能を示すが、その理由は不明であった。本研究では、PPを用いてPCAおよびTDの成功を理論的に説明し、3つのデータセット（腎臓がんのバイオマーカー特定とCOVID-19の創薬）への適用を通じて検証する。結果として、PCAおよびTDがK-meansクラスタリングのセントロイド部分空間に対応し、生物学的に意味のある遺伝子選択を可能にすることが示された。また、シャッフリングによるヌル分布を用いた検証により、閾値の妥当性が確認された。","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-06-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"35","bibliographicVolumeNumber":"2025-BIO-82"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"created":"2025-06-09T02:38:17.931292+00:00","updated":"2025-10-09T02:37:03.041460+00:00"}