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However, performing DGE analysis typically requires navigating a complex multistep pipeline and proficiency in programming languages such as R. This poses a barrier for researchers \u2010\u2010\u2010 including biologists and clinicians \u2010\u2010\u2010 who may lack coding expertise, and adds overhead for experienced bioinformaticians.<\/jats:p>\n                  <jats:p>To address these challenges, we propose a workflow\u2010driven visual analytics approach for DGE analysis that integrates state\u2010of\u2010the\u2010art methodologies and supports interactive exploration of gene expression data through a guided step\u2010by\u2010step process. Building on this workflow, we developed GEVIS, a visual analytics system that enables users to conduct DGE analysis without writing code, thereby reducing analytical overhead and making the process more accessible to a broader audience. Both the workflow and the GEVIS system have been validated by experts in bioinformatics and demonstrated through a use case.<\/jats:p>","DOI":"10.1111\/cgf.70457","type":"journal-article","created":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T12:45:59Z","timestamp":1781095559000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["GEVIS: A Workflow\u2010Driven Visual Analytics Approach to Differential Gene Expression Analysis"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3339-6403","authenticated-orcid":false,"given":"G.","family":"Blasilli","sequence":"first","affiliation":[{"name":"Sapienza University of Rome  Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1782-8584","authenticated-orcid":false,"given":"F.","family":"Fortunato","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome  Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1997-4938","authenticated-orcid":false,"given":"C.","family":"Santaroni","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome  Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3354-8203","authenticated-orcid":false,"given":"G.","family":"Fiscon","sequence":"additional","affiliation":[{"name":"San Raffaele University of Rome  Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4350-1123","authenticated-orcid":false,"given":"G.","family":"Santucci","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome  Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,10]]},"reference":[{"key":"e_1_2_11_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3399715.3399918"},{"key":"e_1_2_11_3_2","doi-asserted-by":"publisher","DOI":"10.4103\/ijpsym.ijpsym_193_19"},{"key":"e_1_2_11_4_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/19.2.185"},{"key":"e_1_2_11_5_2","unstructured":"Bioconductor:Bioconductor: Open source software for bioinformatics. 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