{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T21:17:45Z","timestamp":1773350265025,"version":"3.50.1"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T00:00:00Z","timestamp":1771027200000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"publisher","award":["R00 HG011898"],"award-info":[{"award-number":["R00 HG011898"]}],"id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009633","name":"The Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"crossref","award":["R01 HD109765"],"award-info":[{"award-number":["R01 HD109765"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,2,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Identifying meaningful patterns in complex biological data necessitates correlation coefficients capable of capturing diverse relationship types beyond simple linearity. Furthermore, efficient computational tools are crucial for handling the ever-increasing scale of biological datasets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We introduce CCC-GPU, a high-performance, GPU-accelerated implementation of the Clustermatch Correlation Coefficient (CCC). CCC-GPU computes correlation coefficients for mixed data types, effectively detects nonlinear relationships, and offers significant speed improvements over its predecessor.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The source code of CCC-GPU is openly available on GitHub (https:\/\/github.com\/pivlab\/ccc-gpu) and archived on Zenodo (https:\/\/doi.org\/10.5281\/zenodo.18310318), distributed under the BSD-2-Clause Plus Patent License.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag068","type":"journal-article","created":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:39:44Z","timestamp":1770467984000},"source":"Crossref","is-referenced-by-count":0,"title":["CCC-GPU: a graphics processing unit (GPU)-accelerated nonlinear correlation coefficient for large-scale transcriptomic analyses"],"prefix":"10.1093","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-6025-0217","authenticated-orcid":false,"given":"Haoyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics, University of Colorado Anschutz , Aurora, Colorado, 80045,","place":["United States"]}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2196-6157","authenticated-orcid":false,"given":"Kevin T","family":"Fotso","sequence":"additional","affiliation":[{"name":"Information Strategy and Services , University of Colorado Anschutz, Aurora, Colorado, 80045,","place":["United States"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3934-839X","authenticated-orcid":false,"given":"Marc","family":"Subirana-Gran\u00e9s","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Colorado Anschutz , Aurora, Colorado, 80045,","place":["United 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