{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T11:59:17Z","timestamp":1778500757174,"version":"3.51.4"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2010,8,18]],"date-time":"2010-08-18T00:00:00Z","timestamp":1282089600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2010,12]]},"DOI":"10.1186\/1471-2105-11-427","type":"journal-article","created":{"date-parts":[[2010,8,18]],"date-time":"2010-08-18T06:43:03Z","timestamp":1282113783000},"source":"Crossref","is-referenced-by-count":37,"title":["An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data"],"prefix":"10.1186","volume":"11","author":[{"given":"Susmita","family":"Datta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasyl","family":"Pihur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Somnath","family":"Datta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,8,18]]},"reference":[{"key":"3884_CR1","volume-title":"Machine Learning","author":"L Breiman","year":"1996","unstructured":"Breiman L: Bagging predictors. Machine Learning 1996., 24(123\u2013140):"},{"key":"3884_CR2","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund Y, Schapire RE: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 1997, 55: 119\u2013139. 10.1006\/jcss.1997.1504","journal-title":"Journal of Computer and System Sciences"},{"key":"3884_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L: Random Forests. Machine Learning 2001, 45: 5\u201332. 10.1023\/A:1010933404324","journal-title":"Machine Learning"},{"key":"3884_CR4","first-page":"23","volume-title":"EuroCOLT '95: Proceedings of the Second European Conference on Computational Learning Theory","author":"Y Freund","year":"1995","unstructured":"Freund Y, Schapire RE: A decision-theoretic generalization of on-line learning and an application to boosting. In EuroCOLT '95: Proceedings of the Second European Conference on Computational Learning Theory. London, UK: Springer-Verlag; 1995:23\u201337."},{"key":"3884_CR5","volume-title":"Statistical applications in genetics and molecular biology","author":"D Hand","year":"2008","unstructured":"Hand D: Breast cancer diagnosis from proteomic mass spectrometry data: a comparative evaluation. Statistical applications in genetics and molecular biology 2008., 7(15):"},{"issue":"13","key":"3884_CR6","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.1093\/bioinformatics\/btm158","volume":"23","author":"V Pihur","year":"2007","unstructured":"Pihur V, Datta S, Datta S: Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach. Bioinformatics 2007, 23(13):1607\u20131615. 10.1093\/bioinformatics\/btm158","journal-title":"Bioinformatics"},{"key":"3884_CR7","volume-title":"Technical Report 460, Statistics Department, University of California","author":"L Breiman","year":"1996","unstructured":"Breiman L: Bias, Variance, and Arcing Classifiers. Technical Report 460, Statistics Department, University of California 1996."},{"key":"3884_CR8","doi-asserted-by":"publisher","first-page":"R7","DOI":"10.1186\/bcr2472","volume":"12","author":"J Aaroe","year":"2010","unstructured":"Aaroe J, Lindahl T, Dumeaux V, Sebo S, et al.: Gene expression profiling of peripheral blood cells for early detection of breast cancer. Breast Cancer Res 2010, 12: R7. 10.1186\/bcr2472","journal-title":"Breast Cancer Res"},{"issue":"9306","key":"3884_CR9","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1016\/S0140-6736(02)07746-2","volume":"359","author":"EF Petricoin","year":"2002","unstructured":"Petricoin EF, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, Steinberg SM, Mills GB, Simone C, Fishman DA, Kohn EC, Liotta LA: Use of proteomic patterns in serum to identify ovarian cancer. Lancet 2002, 359(9306):572\u2013577. 10.1016\/S0140-6736(02)07746-2","journal-title":"Lancet"},{"key":"3884_CR10","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/1471-2105-4-24","volume":"4","author":"JM Sorace","year":"2003","unstructured":"Sorace JM, Zhan M: A data review and re-assessment of ovarian cancer serum proteomic profiling. BMC Bioinformatics 2003, 4: 24\u201324. 10.1186\/1471-2105-4-24","journal-title":"BMC Bioinformatics"},{"issue":"5","key":"3884_CR11","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1093\/bioinformatics\/btg484","volume":"20","author":"KA Baggerly","year":"2004","unstructured":"Baggerly KA, Morris JS, Coombes KR: Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments. Bioinformatics 2004, 20(5):777\u2013785. 10.1093\/bioinformatics\/btg484","journal-title":"Bioinformatics"},{"issue":"29","key":"3884_CR12","doi-asserted-by":"publisher","first-page":"7332","DOI":"10.1200\/JCO.2005.02.8712","volume":"23","author":"R Simon","year":"2005","unstructured":"Simon R: Roadmap for Developing and Validating Therapeutically Relevant Genomic Classifiers. J Clin Oncol 2005, 23(29):7332\u20137341. 10.1200\/JCO.2005.02.8712","journal-title":"J Clin Oncol"},{"issue":"2","key":"3884_CR13","doi-asserted-by":"publisher","first-page":"Article 7","DOI":"10.2202\/1544-6115.1345","volume":"7","author":"S Datta","year":"2008","unstructured":"Datta S: Classification of breast cancer versus normal samples from mass spectrometry profiles using linear discriminant analysis of important features selected by Random Forest. Statistical Applications in Genetics and Molecular Biology 2008, 7(2):Article 7. 10.2202\/1544-6115.1345","journal-title":"Statistical Applications in Genetics and Molecular Biology"},{"key":"3884_CR14","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.stamet.2005.09.006","volume":"3","author":"S Datta","year":"2006","unstructured":"Datta S, de Padilla L: Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples. Statistical Methodology 2006, 3: 79\u201392. 10.1016\/j.stamet.2005.09.006","journal-title":"Statistical Methodology"},{"key":"3884_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1175\/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2","volume":"78","author":"GW Brier","year":"1950","unstructured":"Brier GW: Verification of forecasts expressed in terms of probabilities. Monthly Weather Review 1950, 78: 1\u20133. 10.1175\/1520-0493(1950)078<0001:VOFEIT>2.0.CO;2","journal-title":"Monthly Weather Review"},{"key":"3884_CR16","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen J: A coefficient of agreement for nominal scales. Educational and Psychological Measurement 1960, 20: 37\u201346. 10.1177\/001316446002000104","journal-title":"Educational and Psychological Measurement"},{"key":"3884_CR17","doi-asserted-by":"publisher","first-page":"36","DOI":"10.2307\/2685844","volume":"37","author":"B Efron","year":"1983","unstructured":"Efron B, Gong G: A Leisurely Look at the Boot-strap, the Jackknife, and Cross-Validation. The American Statistician 1983, 37: 36\u201348. 10.2307\/2685844","journal-title":"The American Statistician"},{"issue":"436","key":"3884_CR18","doi-asserted-by":"publisher","first-page":"1641","DOI":"10.2307\/2291591","volume":"91","author":"M LeBlanc","year":"1996","unstructured":"LeBlanc M, Tibshirani R: Combining estimates in regression and classification. Journal of American Statistical Association 1996, 91(436):1641\u20131650. 10.2307\/2291591","journal-title":"Journal of American Statistical Association"},{"issue":"454","key":"3884_CR19","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1198\/016214501753168262","volume":"96","author":"Y Yang","year":"2001","unstructured":"Yang Y: Adaptive regression by mixing. Journal of American Statistical Association 2001, 96(454):574\u2013588. 10.1198\/016214501753168262","journal-title":"Journal of American Statistical Association"},{"issue":"1-2","key":"3884_CR20","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1023\/A:1007559205422","volume":"36","author":"C Merz","year":"1999","unstructured":"Merz C: Using correspondence analysis to combine classifiers. Machine Learning 1999, 36(1\u20132):33\u201358. 10.1023\/A:1007559205422","journal-title":"Machine Learning"},{"issue":"4","key":"3884_CR21","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1093\/clinchem\/39.4.561","volume":"39","author":"MH Zweig","year":"1993","unstructured":"Zweig MH, Campbell G: Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry 1993, 39(4):561\u2013577.","journal-title":"Clinical Chemistry"},{"key":"3884_CR22","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1137\/S0895480102412856","volume":"17","author":"R Fagin KR","year":"2003","unstructured":"Fagin KR R, Sivakumar D: Comparing top k lists. SIAM Journal on Discrete Mathematics 2003, 17: 134\u2013160. 10.1137\/S0895480102412856","journal-title":"SIAM Journal on Discrete Mathematics"},{"key":"3884_CR23","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1023\/A:1010091220143","volume":"2","author":"R Rubinstein","year":"1999","unstructured":"Rubinstein R: The cross-entropy method for combinatorial and continuous optimization. Methodology and Computing in Applied Probability 1999, 2: 127\u2013190. 10.1023\/A:1010091220143","journal-title":"Methodology and Computing in Applied Probability"},{"key":"3884_CR24","volume-title":"Genetic Algorithms in Search, Optimization and Machine Learning","author":"DE Goldenberg","year":"1989","unstructured":"Goldenberg DE: Genetic Algorithms in Search, Optimization and Machine Learning. Reading: MA: Addison Wesley; 1989."},{"key":"3884_CR25","volume-title":"BMC Bioinformatics","author":"V Pihur","year":"2009","unstructured":"Pihur V, Datta S, Datta S: RankAggreg, an R package for weighted rank aggregation. BMC Bioinformatics 2009., 10(62):"},{"key":"3884_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21606-5","volume-title":"The Elements of Statistical Learning","author":"T Hastie TR","year":"2001","unstructured":"Hastie TR T, Friedman J: The Elements of Statistical Learning. New York: Springer-Verlag; 2001."},{"key":"3884_CR27","doi-asserted-by":"publisher","DOI":"10.1002\/0471249688","volume-title":"Categorical Data Analysis","author":"A Agresti","year":"2002","unstructured":"Agresti A: Categorical Data Analysis. New York: Wiley-Interscience; 2002. full_text"},{"issue":"2","key":"3884_CR28","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1111\/j.1469-1809.1936.tb02137.x","volume":"7","author":"R Fisher","year":"1936","unstructured":"Fisher R: The use of multiple measurements in taxonomic problems. Annals of Eugenics 1936, 7(2):179\u2013188.","journal-title":"Annals of Eugenics"},{"key":"3884_CR29","volume-title":"Statistical Learning Theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik V: Statistical Learning Theory. New York: Wiley; 1998."},{"issue":"6","key":"3884_CR30","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1080\/14786440109462720","volume":"2","author":"K Pearson","year":"1901","unstructured":"Pearson K: On lines and planes of closest fit to systems of points in space. Philosophical Magazine 1901, 2(6):559\u2013572.","journal-title":"Philosophical Magazine"},{"key":"3884_CR31","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1007\/BFb0062108","volume-title":"Lecture Notes in Mathematics: Matrix Pencils","author":"S Wold","year":"1983","unstructured":"Wold S, Martens H: The multivariate calibration problem in chemistry solved by the PLS method. In Lecture Notes in Mathematics: Matrix Pencils. Edited by: Wold H, Ruhe A, K\u00e4gstr\u00f6m B. Heidelberg: Springer-Verlag; 1983:286\u2013293."}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-11-427.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/1471-2105-11-427\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-11-427.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,10]],"date-time":"2020-06-10T16:44:11Z","timestamp":1591807451000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-11-427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,8,18]]},"references-count":31,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2010,12]]}},"alternative-id":["3884"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-11-427","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,8,18]]},"article-number":"427"}}