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Similar to molecular omics, pathomics datasets are high-dimensional, but also face large outlier variability and inherent data missingness, making quick and comprehensible data analysis challenging. To facilitate pathomics data analysis and interpretation as well as support a broad implementation we developed tRigon (Toolbox foR InteGrative (path-)Omics data aNalysis), a Shiny application for fast, comprehensive and reproducible pathomics analysis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>tRigon is available via the CRAN repository (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/cran.r-project.org\/web\/packages\/tRigon\">https:\/\/cran.r-project.org\/web\/packages\/tRigon<\/jats:ext-link>) with its source code available on GitLab (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/git-ce.rwth-aachen.de\/labooratory-ai\/trigon\">https:\/\/git-ce.rwth-aachen.de\/labooratory-ai\/trigon<\/jats:ext-link>). The tRigon package can be installed locally and its application can be executed from the R console via the command \u2018tRigon::run_tRigon()\u2019. Alternatively, the application is hosted online and can be accessed at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/labooratory.shinyapps.io\/tRigon\">https:\/\/labooratory.shinyapps.io\/tRigon<\/jats:ext-link>. We show fast computation of small, medium and large datasets in a low- and high-performance hardware setting, indicating broad applicability of tRigon.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>tRigon allows researchers without coding abilities to perform exploratory feature analyses of pathomics and non-pathomics datasets on their own using a variety of hardware.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12859-024-05721-w","type":"journal-article","created":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T13:03:27Z","timestamp":1709643807000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["tRigon: an R package and Shiny App for integrative (path-)omics data analysis"],"prefix":"10.1186","volume":"25","author":[{"given":"David L.","family":"H\u00f6lscher","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Goedertier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barbara M.","family":"Klinkhammer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Droste","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivan G.","family":"Costa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Boor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roman D.","family":"B\u00fclow","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,5]]},"reference":[{"key":"5721_CR1","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1038\/s41591-021-01343-4","volume":"27","author":"J van der Laak","year":"2021","unstructured":"van der Laak J, Litjens G, Ciompi F. 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