{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T03:39:20Z","timestamp":1790825960739,"version":"4.1.0"},"reference-count":32,"publisher":"American Chemical Society (ACS)","issue":"3","license":[{"start":{"date-parts":[[2016,3,4]],"date-time":"2016-03-04T00:00:00Z","timestamp":1457049600000},"content-version":"vor","delay-in-days":81,"URL":"https:\/\/pubs.acs.org\/page\/policy\/authorchoice_termsofuse.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,3,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Increasingly, multiple omics approaches are being applied to understand the complexity of biological systems. Yet, computational approaches that enable the efficient integration of such data are not well developed. Here, we describe a novel algorithm, termed moCluster, which discovers joint patterns among multiple omics data. The method first employs a multiblock multivariate analysis to define a set of latent variables representing joint patterns across input data sets, which is further passed to an ordinary clustering algorithm in order to discover joint clusters. Using simulated data, we show that moCluster\u2019s performance is not compromised by issues present in iCluster\/iCluster+ (notably, the nondeterministic solution) and that it operates 100\u00d7 to 1000\u00d7 faster than iCluster\/iCluster+. We used moCluster to cluster proteomic and transcriptomic data from the NCI-60 cell line panel. The resulting cluster model revealed different phenotypes across cellular subtypes, such as doubling time and drug response. Applying moCluster to methylation, mRNA, and protein data from a large study on colorectal cancer patients identified four molecular subtypes, including one characterized by microsatellite instability and high expression of genes\/proteins involved in immunity, such as PDL1, a target of multiple drugs currently in development. The other three subtypes have not been discovered before using single data sets, which clearly illustrates the molecular complexity of oncogenesis and the need for holistic, multidata analysis strategies.<\/jats:p>","DOI":"10.1021\/acs.jproteome.5b00824","type":"journal-article","created":{"date-parts":[[2015,12,14]],"date-time":"2015-12-14T05:38:18Z","timestamp":1450071498000},"page":"755-765","source":"Crossref","is-referenced-by-count":149,"title":["moCluster: Identifying Joint Patterns Across Multiple\nOmics Data Sets"],"prefix":"10.1021","volume":"15","author":[{"given":"Chen","family":"Meng","sequence":"first","affiliation":[{"name":"Technische Universita\u0308t Mu\u0308nchen , , ,","place":["Freising, Germany, 85354"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dominic","family":"Helm","sequence":"additional","affiliation":[{"name":"Technische Universita\u0308t Mu\u0308nchen , , ,","place":["Freising, Germany, 85354"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin","family":"Frejno","sequence":"additional","affiliation":[{"name":"Technische Universita\u0308t Mu\u0308nchen , , ,","place":["Freising, Germany, 85354"]},{"name":"University of Oxford , , ,","place":["Oxford, United Kingdom, OX3 7DQ"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernhard","family":"Kuster","sequence":"additional","affiliation":[{"name":"Technische Universita\u0308t Mu\u0308nchen , , ,","place":["Freising, Germany, 85354"]},{"name":"Technische Universita\u0308t Mu\u0308nchen , , ,","place":["Freising, Germany, 85354"]},{"name":"Center for Integrated Protein Science Munich (CIPSM) , Emil-Erlenmeyer-Forum 5 , ,","place":["Freising, Germany, 85354"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2015,12,14]]},"reference":[{"key":"2026090116341517300_cit1","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1186\/1471-2105-15-162","article-title":"A multivariate approach\nto the integration of multi-omics datasets","volume":"15","author":"Meng","year":"2014","journal-title":"BMC Bioinf."},{"issue":"4","key":"2026090116341517300_cit2","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1016\/j.cell.2014.06.049","article-title":"Multiplatform\nanalysis of 12 cancer types reveals molecular classification within\nand across tissues of origin","volume":"158","author":"Hoadley","year":"2014","journal-title":"Cell"},{"issue":"1\u20132","key":"2026090116341517300_cit3","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1023\/A:1023949509487","article-title":"Consensus Clustering:\nA Resampling-Based Method for Class Discovery and Visualization of\nGene Expression Microarray Data","volume":"52","author":"Monti","year":"2003","journal-title":"Mach. Learn."},{"issue":"7","key":"2026090116341517300_cit4","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1093\/bioinformatics\/btn034","article-title":"Integrative\nanalysis reveals the\ndirect and indirect interactions between DNA copy number aberrations\nand gene expression changes","volume":"24","author":"Lee","year":"2008","journal-title":"Bioinformatics"},{"issue":"22","key":"2026090116341517300_cit5","doi-asserted-by":"publisher","first-page":"2906","DOI":"10.1093\/bioinformatics\/btp543","article-title":"Integrative clustering of multiple\ngenomic data types using a joint latent variable model with application\nto breast and lung cancer subtype analysis","volume":"25","author":"Shen","year":"2009","journal-title":"Bioinformatics"},{"issue":"7403","key":"2026090116341517300_cit6","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1038\/nature10983","article-title":"The genomic and transcriptomic architecture of 2,000\nbreast tumours reveals novel subgroups","volume":"486","author":"Curtis","year":"2012","journal-title":"Nature"},{"issue":"11","key":"2026090116341517300_cit7","doi-asserted-by":"publisher","first-page":"4245","DOI":"10.1073\/pnas.1208949110","article-title":"Pattern discovery\nand cancer gene identification in integrated cancer genomic data","volume":"110","author":"Mo","year":"2013","journal-title":"Proc. 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J. Pathol."},{"issue":"5","key":"2026090116341517300_cit21","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1016\/j.cellsig.2009.01.006","article-title":"The role of cell adhesion molecules\nin the progression of colorectal cancer and the development of liver\nmetastasis","volume":"21","author":"Paschos","year":"2009","journal-title":"Cell. Signalling"},{"issue":"19","key":"2026090116341517300_cit22","doi-asserted-by":"publisher","first-page":"10781","DOI":"10.1073\/pnas.181597298","article-title":"Correspondence analysis\napplied to microarray data","volume":"98","author":"Fellenberg","year":"2001","journal-title":"Proc. Natl. Acad.\nSci. U. S. 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Methods"}],"container-title":["Journal of Proteome Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.jproteome.5b00824","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/jprobs\/article-pdf\/15\/3\/755\/67519750\/acs.jproteome.5b00824.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.acs.org\/jprobs\/article-pdf\/15\/3\/755\/67519750\/acs.jproteome.5b00824.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T20:34:24Z","timestamp":1788294864000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/jprobs\/article\/15\/3\/755\/1463585\/moCluster-Identifying-Joint-Patterns-Across"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,14]]},"references-count":32,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2015,12,14]]},"published-print":{"date-parts":[[2016,3,4]]}},"URL":"https:\/\/doi.org\/10.1021\/acs.jproteome.5b00824","relation":{},"ISSN":["1535-3893","1535-3907"],"issn-type":[{"value":"1535-3893","type":"print"},{"value":"1535-3907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12,14]]}}}