{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T22:37:47Z","timestamp":1781908667075,"version":"3.54.5"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"21","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":2595,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.0\/uk\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Motivation: With the availability of many \u2018omics\u2019 data, such as transcriptomics, proteomics or metabolomics, the integrative or joint analysis of multiple datasets from different technology platforms is becoming crucial to unravel the relationships between different biological functional levels. However, the development of such an analysis is a major computational and technical challenge as most approaches suffer from high data dimensionality. New methodologies need to be developed and validated.<\/jats:p><jats:p>Results: \u00a0integrOmics efficiently performs integrative analyses of two types of \u2018omics\u2019 variables that are measured on the same samples. It includes a regularized version of canonical correlation analysis to enlighten correlations between two datasets, and a sparse version of partial least squares (PLS) regression that includes simultaneous variable selection in both datasets. The usefulness of both approaches has been demonstrated previously and successfully applied in various integrative studies.<\/jats:p><jats:p>Availability: \u00a0integrOmics is freely available from http:\/\/CRAN.R-project.org\/ or from the web site companion (http:\/\/math.univ-toulouse.fr\/biostat) that provides full documentation and tutorials.<\/jats:p><jats:p>Contact: \u00a0k.lecao@uq.edu.au<\/jats:p><jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp515","type":"journal-article","created":{"date-parts":[[2009,8,26]],"date-time":"2009-08-26T03:34:49Z","timestamp":1251257689000},"page":"2855-2856","source":"Crossref","is-referenced-by-count":371,"title":["integrOmics: an R package to unravel relationships between two omics datasets"],"prefix":"10.1093","volume":"25","author":[{"given":"Kim-Anh","family":"L\u00ea Cao","sequence":"first","affiliation":[{"name":"1 Institute for Molecular Biosciences and ARC Centre of Excellence in Bioinformatics,The University of Queensland, Brisbane QLD 4072, Australia, 2 Plateforme Biopuces, Genop\u00f4le Toulouse Midi-Pyr\u00e9n\u00e9es, Institut National des Sciences Appliqu\u00e9es, F-31077 and 3 Institut de Math\u00e9matiques de Toulouse, UMR 5219, Universit\u00e9 de Toulouse et CNRS, F-31062, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ignacio","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"1 Institute for Molecular Biosciences and ARC Centre of Excellence in Bioinformatics,The University of Queensland, Brisbane QLD 4072, Australia, 2 Plateforme Biopuces, Genop\u00f4le Toulouse Midi-Pyr\u00e9n\u00e9es, Institut National des Sciences Appliqu\u00e9es, F-31077 and 3 Institut de Math\u00e9matiques de Toulouse, UMR 5219, Universit\u00e9 de Toulouse et CNRS, F-31062, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S\u00e9bastien","family":"D\u00e9jean","sequence":"additional","affiliation":[{"name":"1 Institute for Molecular Biosciences and ARC Centre of Excellence in Bioinformatics,The University of Queensland, Brisbane QLD 4072, Australia, 2 Plateforme Biopuces, Genop\u00f4le Toulouse Midi-Pyr\u00e9n\u00e9es, Institut National des Sciences Appliqu\u00e9es, F-31077 and 3 Institut de Math\u00e9matiques de Toulouse, UMR 5219, Universit\u00e9 de Toulouse et CNRS, F-31062, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2009,8,25]]},"reference":[{"key":"2023013112183847600_B1","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1016\/j.meatsci.2008.03.033","article-title":"Relationships between sensorial and physicochemical measurements in meat of rabbit from three different breeding systems using canonical correlation analysis","volume":"80","author":"Combes","year":"2008","journal-title":"Meat Sci."},{"key":"2023013112183847600_B2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v023.i12","article-title":"CCA: an R package to extend canonical correlation analysis","volume":"23","author":"Gonz\u00e1lez","year":"2008","journal-title":"J. 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