{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T14:56:35Z","timestamp":1776783395587,"version":"3.51.2"},"reference-count":22,"publisher":"Elsevier BV","content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2014,8]]},"DOI":"10.1016\/j.knosys.2014.04.013","type":"journal-article","created":{"date-parts":[[2014,4,18]],"date-time":"2014-04-18T16:55:28Z","timestamp":1397840128000},"page":"28-35","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":16,"special_numbering":"C","title":["Detecting potential labeling errors for bioinformatics by multiple voting"],"prefix":"10.1016","volume":"66","author":[{"given":"Donghai","family":"Guan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiwei","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tinghuai","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sungyoung","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"19","key":"10.1016\/j.knosys.2014.04.013_b0005","doi-asserted-by":"crossref","first-page":"2507","DOI":"10.1093\/bioinformatics\/btm344","article-title":"A review of feature selection techniques in bioinformatics","volume":"23","author":"Saeys","year":"2007","journal-title":"Bioinformatics"},{"issue":"2","key":"10.1016\/j.knosys.2014.04.013_b0010","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1093\/bioinformatics\/17.2.180","article-title":"A classification of tasks in bioinformatics","volume":"17","author":"Stevens","year":"2001","journal-title":"Bioinformatics"},{"key":"10.1016\/j.knosys.2014.04.013_b0015","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1186\/1471-2105-6-310","article-title":"Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine","volume":"6","author":"Xue","year":"2005","journal-title":"BMC Bioinform."},{"issue":"1","key":"10.1016\/j.knosys.2014.04.013_b0020","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1093\/bib\/bbp035","article-title":"Advances in metaheuristics for gene selection and classification of microarray data","volume":"11","author":"Duval","year":"2009","journal-title":"Brief. Bioinform."},{"issue":"13","key":"10.1016\/j.knosys.2014.04.013_b0025","doi-asserted-by":"crossref","first-page":"1636","DOI":"10.1093\/bioinformatics\/btg210","article-title":"Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data","volume":"19","author":"Wu","year":"2003","journal-title":"Bioinformatics"},{"key":"10.1016\/j.knosys.2014.04.013_b0030","doi-asserted-by":"crossref","unstructured":"M. West et al., Predicting the clinical status of human breast cancer by using gene expression profiles, in: Proc. Natl Acad. Sci. USA, 1998, pp. 11462\u201311467.","DOI":"10.1073\/pnas.201162998"},{"key":"10.1016\/j.knosys.2014.04.013_b0035","unstructured":"A. Malossini, E. Blanzieri, R.T. Ng, Assessment of SVM reliability for microarray data analysis, in: 14th Conference on Machine Learning, Benelearn, Enschede, WP05-03, 2005."},{"issue":"7","key":"10.1016\/j.knosys.2014.04.013_b0040","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1093\/bioinformatics\/btt078","article-title":"Classification of mislabelled microarrays using robust sparse logistic regression","volume":"29","author":"Bootkrajang","year":"2013","journal-title":"Bioinformatics"},{"key":"10.1016\/j.knosys.2014.04.013_b0045","unstructured":"J. Saez, M. Galar, J. Luengo, F. Herrera, A first study on decomposition strategies with data with class noise using decision trees, in: Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, vol. 7209, 2012, pp. 25\u201335."},{"issue":"3","key":"10.1016\/j.knosys.2014.04.013_b0050","first-page":"431","article-title":"Asymptotic properties of nearest neighbor rules using edited data","volume":"2","author":"Wilson","year":"1992","journal-title":"IEEE Trans. Syst. Man Cybernet."},{"key":"10.1016\/j.knosys.2014.04.013_b0055","doi-asserted-by":"crossref","unstructured":"J. Young, J. Ashburner, S. Ourselin, Wrapper methods to correct mislabeled training data, in: 3rd International Workshop on Pattern Recognition in Neuroimaging, 2013, pp. 170\u2013173.","DOI":"10.1109\/PRNI.2013.51"},{"issue":"3","key":"10.1016\/j.knosys.2014.04.013_b0115","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1007\/s10489-010-0225-4","article-title":"Identifying mislabeled training data with the aid of unlabeled data","volume":"35","author":"Guan","year":"2011","journal-title":"Appl. Intell."},{"key":"10.1016\/j.knosys.2014.04.013_b0065","doi-asserted-by":"crossref","unstructured":"C.E. Brodley, M.A. Friedl, Improving automated land cover mapping by identifying and eliminating mislabeled observations from training data, in: Geoscience and Remote Sensing Symposium, 1996, pp. 1379\u20131381.","DOI":"10.1109\/IGARSS.1996.516669"},{"key":"10.1016\/j.knosys.2014.04.013_b0070","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1613\/jair.606","article-title":"Identifying mislabeled training data","volume":"11","author":"Brodley","year":"1999","journal-title":"J. Artif. Intell. Res."},{"key":"10.1016\/j.knosys.2014.04.013_b0075","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1016\/S0167-8655(02)00225-8","article-title":"Analysis of new techniques to obtain quality training sets","volume":"24","author":"Marques","year":"2003","journal-title":"Pattern Recogn. Lett."},{"key":"10.1016\/j.knosys.2014.04.013_b0080","unstructured":"Z.H. Zhou, Y. Jiang, Editing training data for knn classifiers with neural network ensemble, in: Lecture Notes in Computer Science, vol. 3173, 2004, pp. 356\u2013361."},{"key":"10.1016\/j.knosys.2014.04.013_b0085","unstructured":"G.H. John, Robust decision trees: removing outliers from databases, in: Proceeding of International Conference on Knowledge Discovery and Data Mining, 1995, pp. 174\u2013179."},{"key":"10.1016\/j.knosys.2014.04.013_b0090","unstructured":"X. Wu, X. Zhu, Q. Chen, Eliminating class noise in large datasets, in: Proceeding of International Conference on Machine Learning, 2003, pp. 920\u2013927."},{"key":"10.1016\/j.knosys.2014.04.013_b0095","unstructured":"A.I. Marques et al., Decontamination of training data for supervised pattern recognition, in: Advances in Pattern Recognition Lecture Notes in Computer Science, vol. 1876, 2000, 621\u2013630."},{"key":"10.1016\/j.knosys.2014.04.013_b0100","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/0167-8655(95)00093-3","article-title":"A new definition of neighborhood of a point in multi-dimensional space","volume":"17","author":"Chaudhuri","year":"1996","journal-title":"Pattern Recogn. Lett."},{"key":"10.1016\/j.knosys.2014.04.013_b0105","doi-asserted-by":"crossref","unstructured":"S. Verbaeten, A.V. Assche, Ensemble methods for noise elimination in classification problems, in: Proceeding of 4th International Workshop on Multiple Classifier Systems, 2003, pp. 317\u2013325.","DOI":"10.1007\/3-540-44938-8_32"},{"key":"10.1016\/j.knosys.2014.04.013_b0110","unstructured":"D. Metxas et al., Distinguishing mislabeled data from correctly labeled data in classifier design, in: 16th IEEE International Conference on Tools with Artificial Intelligence, 2004, pp. 668\u2013672."}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S095070511400135X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S095070511400135X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T12:29:19Z","timestamp":1746188959000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S095070511400135X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8]]},"references-count":22,"alternative-id":["S095070511400135X"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.knosys.2014.04.013","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2014,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detecting potential labeling errors for bioinformatics by multiple voting","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.knosys.2014.04.013","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2014 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}