{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T12:31:57Z","timestamp":1763037117116},"reference-count":40,"publisher":"Walter de Gruyter GmbH","issue":"2","license":[{"start":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T00:00:00Z","timestamp":1496707200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,6,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Modeling complex time-course patterns is a challenging issue in microarray study due to complex gene expression patterns in response to the time-course experiment. We introduce the generalized correlation coefficient and propose a combinatory approach for detecting, testing and clustering the heterogeneous time-course gene expression patterns. Application of the method identified nonlinear time-course patterns in high agreement with parametric analysis. We conclude that the non-parametric nature in the generalized correlation analysis could be an useful and efficient tool for analyzing microarray time-course data and for exploring the complex relationships in the omics data for studying their association with disease and health.<\/jats:p>","DOI":"10.1515\/jib-2017-0011","type":"journal-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T10:07:53Z","timestamp":1501236473000},"source":"Crossref","is-referenced-by-count":2,"title":["Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data"],"prefix":"10.1515","volume":"14","author":[{"given":"Qihua","family":"Tan","sequence":"first","affiliation":[{"name":"Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark"},{"name":"Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsl\u00f8ws Vej 9B, DK-5000, Odense C, Denmark"}]},{"given":"Mads","family":"Thomassen","sequence":"additional","affiliation":[{"name":"Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark"}]},{"given":"Mark","family":"Burton","sequence":"additional","affiliation":[{"name":"Unit of Human Genetics, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark"}]},{"given":"Kristian Fredl\u00f8v","family":"Mose","sequence":"additional","affiliation":[{"name":"Department of Dermatology and Allergy Centre, Odense University Hospital, University of Southern Denmark, 5000 Odense C, Denmark"}]},{"given":"Klaus Ejner","family":"Andersen","sequence":"additional","affiliation":[{"name":"Department of Dermatology and Allergy Centre, Odense University Hospital, University of Southern Denmark, 5000 Odense C, Denmark"},{"name":"Dermatological Investigations Scandinavia, J.B. Winsl\u00f8wsvej 9, 5000 Odense C, Denmark"},{"name":"Centre for Innovative Medical Technology, Institute of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark"}]},{"given":"Jacob","family":"Hjelmborg","sequence":"additional","affiliation":[{"name":"Epidemiology, Biostatistics, and Biodemography, Department of Public Health, University of Southern Denmark, J.B. 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