{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T20:02:20Z","timestamp":1784750540155,"version":"3.55.0"},"reference-count":19,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Tensor decomposition (TD)-based unsupervised feature extraction (FE) has proven effective for a wide range of bioinformatics applications ranging from biomarker identification to the identification of disease-causing genes and drug repositioning. However, TD-based unsupervised FE failed to gain widespread acceptance due to the lack of user-friendly tools for non-experts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We developed two bioconductor packages\u2014TDbasedUFE and TDbasedUFEadv\u2014that enable researchers unfamiliar with TD to utilize TD-based unsupervised FE. The packages facilitate the identification of differentially expressed genes and multiomics analysis. TDbasedUFE was found to outperform two state-of-the-art methods, such as DESeq2 and DIABLO.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>\n                      TDbasedUFE and TDbasedUFEadv are freely available as R\/Bioconductor packages, which can be accessed at\n                      <jats:ext-link>https:\/\/bioconductor.org\/packages\/TDbasedUFE<\/jats:ext-link>\n                      and\n                      <jats:ext-link>https:\/\/bioconductor.org\/packages\/TDbasedUFEadv<\/jats:ext-link>\n                      , respectively.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/frai.2023.1237542","type":"journal-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T03:13:50Z","timestamp":1693538030000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction"],"prefix":"10.3389","volume":"6","author":[{"given":"Y-h.","family":"Taguchi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Turki","family":"Turki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,9,1]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TCBB.2015.2478454","article-title":"Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection","volume":"13","author":"Ang","year":"2016","journal-title":"IEEE\/ACM Trans. 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