{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T11:19:27Z","timestamp":1788175167001,"version":"build-2803163510"},"reference-count":35,"publisher":"Wiley","issue":"1-2","license":[{"start":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T00:00:00Z","timestamp":1769040000000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Integrated analysis of multi\u2010omics datasets holds great promise for uncovering complex biological processes. However, the large dimensionality of omics data poses significant interpretability and multiple testing challenges. Simultaneous enrichment analysis (SEA) was introduced to address these issues in single\u2010omics analysis, providing an in\u2010built multiple testing correction and enabling simultaneous feature set testing. In this article, we introduce OCEAN, an extension of SEA to multi\u2010omics data. OCEAN is a flexible approach to analyze potentially all possible two\u2010way feature sets from any pair of genomics datasets. We also propose two new error rates which are in line with the two\u2010way structure of the data and facilitate interpretation of the results. The power and utility of OCEAN are demonstrated by analyzing copy number and gene expression data for breast and colon cancer.<\/jats:p>","DOI":"10.1002\/sim.70367","type":"journal-article","created":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T09:15:36Z","timestamp":1769073336000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multiple Testing of Mix\u2010and\u2010Match Feature Sets in Multi\u2010Omics"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2299-876X","authenticated-orcid":false,"given":"Mitra","family":"Ebrahimpoor","sequence":"first","affiliation":[{"name":"Department of Biomedical Data Sciences Leiden University Medical Center  Leiden the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9e","family":"Menezes","sequence":"additional","affiliation":[{"name":"Biostatistics Centre, Department of Psychosocial Research and Epidemiology Netherlands Cancer Institute  Amsterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8385-0670","authenticated-orcid":false,"given":"Ningning","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Data Sciences Leiden University Medical Center  Leiden the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jelle J.","family":"Goeman","sequence":"additional","affiliation":[{"name":"Department of Biomedical Data Sciences Leiden University Medical Center  Leiden the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,22]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbr056"},{"key":"e_1_2_14_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccell.2017.04.013"},{"key":"e_1_2_14_4_1","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.26386"},{"key":"e_1_2_14_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-14605-5"},{"key":"e_1_2_14_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-0926-8"},{"key":"e_1_2_14_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.0010078"},{"key":"e_1_2_14_8_1","doi-asserted-by":"publisher","DOI":"10.1177\/1177932219899051"},{"key":"e_1_2_14_9_1","doi-asserted-by":"publisher","DOI":"10.4137\/CIN.S342"},{"key":"e_1_2_14_10_1","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-08-2496"},{"key":"e_1_2_14_11_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbs005"},{"key":"e_1_2_14_12_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1002375"},{"key":"e_1_2_14_13_1","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2020.00654"},{"key":"e_1_2_14_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-10-203"},{"key":"e_1_2_14_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tig.2023.01.003"},{"key":"e_1_2_14_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/bimj.201500106"},{"key":"e_1_2_14_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbz074"},{"key":"e_1_2_14_18_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu654"},{"key":"e_1_2_14_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12218"},{"key":"e_1_2_14_20_1","doi-asserted-by":"publisher","DOI":"10.1214\/18-AOAS1185"},{"key":"e_1_2_14_21_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asaa086"},{"key":"e_1_2_14_22_1","article-title":"Catch Me if You Can: Signal Localization With Knockoff e\u2010Values","volume":"87","author":"Gablenz P.","year":"2024","journal-title":"Journal of the Royal Statistical Society. 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