{"created":"2025-01-19T01:14:04.161282+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213159","sets":["1164:5352:10544:10714"]},"path":["10714"],"owner":"44499","recid":"213159","title":["大規模遺伝子発現量データを構成する独立なサンプル数の極限値の見積もり"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-09-23"},"_buckets":{"deposit":"b210fbda-c448-4961-b72b-a873ac01ee8c"},"_deposit":{"id":"213159","pid":{"type":"depid","value":"213159","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大規模遺伝子発現量データを構成する独立なサンプル数の極限値の見積もり","author_link":["544892"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模遺伝子発現量データを構成する独立なサンプル数の極限値の見積もり"}]},"item_type_id":"4","publish_date":"2021-09-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大学大学院情報科学研究科"}]},"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/213159/files/IPSJ-BIO21067008.pdf","label":"IPSJ-BIO21067008.pdf"},"date":[{"dateType":"Available","dateValue":"2023-09-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO21067008.pdf","filesize":[{"value":"627.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6522540a-2159-445f-aa4d-c26f8e858d43","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大林, 武"}],"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":"RNAseq やマイクロアレイに基づく遺伝子発現量データは行列の形式で表現される．単一の実験を構成するサンプル数は数十程度のものが多いが，公共データベースに含まれる多数の実験を合わせることでヒト，マウス，ラット，シロイヌナズナなどのモデル生物種ではサンプル数が1万を超える遺伝子発現量行列を構築することができる．遺伝子間の発現プロファイル類似性である遺伝子共発現情報は，サンプル数に依存して情報の質が向上することが知られている．一方，サンプル数が多くなるにつれて類似環境のサンプルが多くなる．ここで，所与の遺伝子発現量データを構成する独立のサンプル数を見積もることができれば，それは発現データの質を評価する上で有用であるのみならず，独立サンプル数の極限は当該生命システムの複雑さを反映していると解釈でき，ゲノム進化の観点からも興味深い．本発表では，主成分分析による独立のサンプル数を見積もりとその種間比較について報告する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-09-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicVolumeNumber":"2021-BIO-67"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213159,"updated":"2025-01-19T17:15:25.336903+00:00","links":{}}