{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T21:54:50Z","timestamp":1768946090559,"version":"3.49.0"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,1,13]],"date-time":"2016-01-13T00:00:00Z","timestamp":1452643200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2016,1,13]],"date-time":"2016-01-13T00:00:00Z","timestamp":1452643200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["Future Fellowship FT120100060 - ARC Discovery Project DP120102576"],"award-info":[{"award-number":["Future Fellowship FT120100060 - ARC Discovery Project DP120102576"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Cancer Institute of New South Wales","award":["Big Data Big Impact Grant 13\/DATA\/1\u201303"],"award-info":[{"award-number":["Big Data Big Impact Grant 13\/DATA\/1\u201303"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BioData Mining"],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1186\/s13040-015-0078-9","type":"journal-article","created":{"date-parts":[[2016,1,13]],"date-time":"2016-01-13T12:59:46Z","timestamp":1452689986000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset"],"prefix":"10.1186","volume":"9","author":[{"given":"Heloisa H.","family":"Milioli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renato","family":"Vimieiro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inna","family":"Tishchenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos","family":"Riveros","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Regina","family":"Berretta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Moscato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,1,13]]},"reference":[{"issue":"8","key":"78_CR1","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1200\/JCO.2008.18.1370","volume":"27","author":"JS Parker","year":"2009","unstructured":"Parker JS, Mullins M, Cheang MC, Leung S, Voduc D, Vickery T, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009; 27(8):1160\u20131167. doi:\n                    10.1200\/JCO.2008.18.1370\n                    \n                  .","journal-title":"J Clin Oncol"},{"issue":"6797","key":"78_CR2","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1038\/35021093","volume":"406","author":"CM Perou","year":"2000","unstructured":"Perou CM, S\u00f8rlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000; 406(6797):747\u201352. doi:\n                    10.1038\/35021093\n                    \n                  .","journal-title":"Nature"},{"issue":"19","key":"78_CR3","doi-asserted-by":"publisher","first-page":"10869","DOI":"10.1073\/pnas.191367098","volume":"98","author":"T S\u00f8rlie","year":"2001","unstructured":"S\u00f8rlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 2001; 98(19):10869\u201310874. doi:\n                    10.1073\/pnas.191367098\n                    \n                  .","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"14","key":"78_CR4","doi-asserted-by":"publisher","first-page":"8418","DOI":"10.1073\/pnas.0932692100","volume":"100","author":"T S\u00f8rlie","year":"2003","unstructured":"S\u00f8rlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A. 2003; 100(14):8418\u2013423. doi:\n                    10.1073\/pnas.0932692100\n                    \n                  .","journal-title":"Proc Natl Acad Sci U S A"},{"key":"78_CR5","doi-asserted-by":"crossref","unstructured":"Hu Z, Fan C, Oh DS, Marron JS, He X, Qaqish BF, et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 2006;7(96). doi:\n                    10.1186\/1471-2164-7-96\n                    \n                  .","DOI":"10.1186\/1471-2164-7-96"},{"issue":"10","key":"78_CR6","doi-asserted-by":"publisher","first-page":"6567","DOI":"10.1073\/pnas.082099299","volume":"99","author":"R Tibshirani","year":"2002","unstructured":"Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc National Acad Sci. 2002; 99(10):6567\u2013572.","journal-title":"Proc National Acad Sci"},{"issue":"4","key":"78_CR7","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/S1470-2045(10)70008-5","volume":"11","author":"B Weigelt","year":"2010","unstructured":"Weigelt B, Mackay A, A\u2019hern R, Natrajan R, Tan DS, Dowsett M, et al. Breast cancer molecular profiling with single sample predictors: a retrospective analysis. Lancet Oncol. 2010; 11(4):339\u201349. doi:\n                    10.1016\/s14702045(10)70008-5\n                    \n                  .","journal-title":"Lancet Oncol"},{"issue":"1","key":"78_CR8","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1186\/2043-9113-1-37","volume":"1","author":"M Ebbert","year":"2011","unstructured":"Ebbert M, Bastien R, Boucher K, Martin M, Carrasco E, Caballero R, et al. Characterization of uncertainty in the classification of multivariate assays: application to pam50 centroid-based genomic predictors for breast cancer treatment plans. J Clin Bioinforma. 2011; 1(1):37. doi:\n                    10.1186\/2043-9113-1-37\n                    \n                  .","journal-title":"J Clin Bioinforma"},{"issue":"4","key":"78_CR9","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1093\/jnci\/djr545","volume":"104","author":"B Haibe-Kains","year":"2012","unstructured":"Haibe-Kains B, Desmedt C, Loi S, Culhane AC, Bontempi G, Quackenbush J, et al. A three-gene model to robustly identify breast cancer molecular subtypes. J National Cancer Inst. 2012; 104(4):311\u201325. doi:\n                    10.1093\/jnci\/djr545\n                    \n                  .","journal-title":"J National Cancer Inst"},{"issue":"9460","key":"78_CR10","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/S0140-6736(05)70933-8","volume":"365","author":"Y Wang","year":"2005","unstructured":"Wang Y, Klijn JG, Zhang Y, Sieuwerts AM, Look MP, Yang F, et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. The Lancet. 2005; 365(9460):671\u20139. doi:\n                    10.1016\/S0140-6736(05)17947-1\n                    \n                  .","journal-title":"The Lancet"},{"issue":"1","key":"78_CR11","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1186\/1755-8794-4-3","volume":"4","author":"C Fan","year":"2011","unstructured":"Fan C, Prat A, Parker J, Liu Y, Carey L, Troester M, Perou C. Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures. BMC Medical Genomics. 2011; 4(1):3. doi:\n                    10.1186\/1755-8794-4-3\n                    \n                  .","journal-title":"BMC Medical Genomics"},{"issue":"10","key":"78_CR12","doi-asserted-by":"publisher","first-page":"1002240","DOI":"10.1371\/journal.pcbi.1002240","volume":"7","author":"D Venet","year":"2011","unstructured":"Venet D, Dumont JE, Detours V. Most random gene expression signatures are significantly associated with breast cancer outcome. PLoS Comput Biol. 2011; 7(10):1002240. doi:\n                    10.1371\/journal.pcbi.1002240\n                    \n                  .","journal-title":"PLoS Comput Biol"},{"issue":"6","key":"78_CR13","doi-asserted-by":"publisher","first-page":"838","DOI":"10.1093\/bioinformatics\/btt610","volume":"30","author":"JA Seoane","year":"2014","unstructured":"Seoane JA, Day INM, Gaunt TR, Campbell C. A pathway-based data integration framework for prediction of disease progression. Bioinforma. 2014; 30(6):838\u201345. doi:\n                    10.1093\/bioinformatics\/btt610\n                    \n                  .","journal-title":"Bioinforma"},{"issue":"10","key":"78_CR14","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1038\/sj.onc.1209920","volume":"26","author":"A Naderi","year":"2006","unstructured":"Naderi A, Teschendorff AE, Barbosa-Morais NL, Pinder SE, Green AR, Powe DG, et al. A gene-expression signature to predict survival in breast cancer across independent data sets. Oncogene. 2006; 26(10):1507\u20131516. doi:\n                    10.1038\/sj.onc.1209920\n                    \n                  .","journal-title":"Oncogene"},{"issue":"9","key":"78_CR15","doi-asserted-by":"publisher","first-page":"3111","DOI":"10.1371\/journal.pone.0003111","volume":"3","author":"M G\u00f3mez Ravetti","year":"2008","unstructured":"G\u00f3mez Ravetti M, Moscato P. Identification of a 5-protein biomarker molecular signature for predicting alzheimer\u2019s disease. PLoS ONE. 2008; 3(9):3111. doi:\n                    10.1371\/journal.pone.0003111\n                    \n                  .","journal-title":"PLoS ONE"},{"issue":"7403","key":"78_CR16","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1038\/nature10983","volume":"486","author":"C Curtis","year":"2012","unstructured":"Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012; 486(7403):346\u201352. doi:\n                    10.1038\/nature10983\n                    \n                  .","journal-title":"Nature"},{"issue":"7","key":"78_CR17","doi-asserted-by":"publisher","first-page":"0129711","DOI":"10.1371\/journal.pone.0129711","volume":"10","author":"HH Milioli","year":"2015","unstructured":"Milioli HH, Vimieiro R, Riveros C, Tishchenko I, Berretta R, Moscato P. The discovery of novel biomarkers improves breast cancer intrinsic subtype prediction and reconciles the labels in the metabric data set. PLoS ONE. 2015; 10(7):0129711. doi:\n                    10.1371\/journal.pone.0129711\n                    \n                  .","journal-title":"PLoS ONE"},{"key":"78_CR18","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"IH Witten","year":"2005","unstructured":"Witten IH, Frank E. Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. San Francisco: Morgan Kaufmann; 2005."},{"issue":"6","key":"78_CR19","doi-asserted-by":"publisher","first-page":"66813","DOI":"10.1371\/journal.pone.0066813","volume":"8","author":"J Marsden","year":"2013","unstructured":"Marsden J, Budden D, Craig H, Moscato P. Language Individuation and Marker Words: Shakespeare and His Maxwell\u2019s Demon. PLoS ONE. 2013; 8(6):66813. doi:\n                    10.1371\/journal.pone.0066813.t001\n                    \n                  .","journal-title":"PLoS ONE"},{"key":"78_CR20","doi-asserted-by":"crossref","DOI":"10.4135\/9781412984942","volume-title":"Measures of Association","author":"AM Liebetrau","year":"1983","unstructured":"Liebetrau AM, Vol. 32. Measures of Association. Beverly Hills, CA: SAGE Publications, Inc; 1983."},{"issue":"5","key":"78_CR21","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1037\/h0031619","volume":"76","author":"JL Fleiss","year":"1971","unstructured":"Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971; 76(5):378\u201382.","journal-title":"Psychol Bull"},{"key":"78_CR22","volume-title":"The Measurement of Interrater Agreement","author":"JL Fleiss","year":"2004","unstructured":"Fleiss JL, Levin B, Paik MC. The Measurement of Interrater Agreement. New York: John Wiley & Sons, Inc; 2004, pp. 598\u2013626. Chap. 18."},{"issue":"1","key":"78_CR23","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert L, Arabie P. Comparing partitions. J Classif. 1985; 2(1):193\u2013218. doi:\n                    10.1007\/BF01908075\n                    \n                  .","journal-title":"J Classif"},{"key":"78_CR24","doi-asserted-by":"crossref","unstructured":"Vinh NX, Epps J, Bailey J. Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary? In: Proceedings of the 26th Annual International Conference on Machine Learning: 2009. p. 1073\u20131080. ACM.","DOI":"10.1145\/1553374.1553511"},{"key":"78_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3294-8","volume-title":"Modeling Survival Data: Extending the Cox Model","author":"TM Therneau","year":"2000","unstructured":"Therneau TM, Grambsch PM. Modeling Survival Data: Extending the Cox Model. New York: Springer; 2000."}],"container-title":["BioData Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-015-0078-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13040-015-0078-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-015-0078-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-015-0078-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T12:54:18Z","timestamp":1589460858000},"score":1,"resource":{"primary":{"URL":"https:\/\/biodatamining.biomedcentral.com\/articles\/10.1186\/s13040-015-0078-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,13]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,12]]}},"alternative-id":["78"],"URL":"https:\/\/doi.org\/10.1186\/s13040-015-0078-9","relation":{},"ISSN":["1756-0381"],"issn-type":[{"value":"1756-0381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,13]]},"assertion":[{"value":"16 July 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 December 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2016","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"2"}}