{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T19:42:29Z","timestamp":1772221349793,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T00:00:00Z","timestamp":1657584000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T00:00:00Z","timestamp":1657584000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s00500-022-07312-4","type":"journal-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T09:08:49Z","timestamp":1657616929000},"page":"13567-13581","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data"],"prefix":"10.1007","volume":"26","author":[{"given":"Ansuman","family":"Kumar","sequence":"first","affiliation":[]},{"given":"Anindya","family":"Halder","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,12]]},"reference":[{"issue":"3","key":"7312_CR1","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1093\/bioinformatics\/btp630","volume":"26","author":"T Abeel","year":"2010","unstructured":"Abeel T, Helleputte T, de Peer Y, Dupont P, Saeys Y (2010) Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics 26(3):392\u2013398","journal-title":"Bioinformatics"},{"key":"7312_CR2","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/BF00153759","volume":"6","author":"DW Aha","year":"1991","unstructured":"Aha DW, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6:37\u201366","journal-title":"Mach Learn"},{"issue":"6769","key":"7312_CR3","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1038\/35000501","volume":"403","author":"A Alizadeh","year":"2000","unstructured":"Alizadeh A, Eisen M, Davis R, Ma C, Lossos I, Rosenwald A, Boldrick J, Sabet H, Tran T, Yu X, Powell J, Yang L, Marti G, Moore T, Hudson J, Lu L, Lewis D, Tibshirani R, Sherlock G, Chan W, Greiner T, Weisenburger D, Armitage J, Warnke R, Levy R, Wilson W, Grever M, Byrd J, Botstein D, Brown P, Staudt L (2000) Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature 403(6769):503\u2013511","journal-title":"Nature"},{"key":"7312_CR4","doi-asserted-by":"publisher","first-page":"6745","DOI":"10.1073\/pnas.96.12.6745","volume":"96","author":"U Alon","year":"1999","unstructured":"Alon U, Barkai N, Notterman D, Gish K, Ybarra S, Mack D, Levine A (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Natl. Acad. Sci. 96:6745\u20136750","journal-title":"Natl. Acad. Sci."},{"issue":"1","key":"7312_CR5","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Measur 20(1):37\u201346","journal-title":"Educ Psychol Measur"},{"issue":"18","key":"7312_CR6","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1093\/bioinformatics\/bth447","volume":"20","author":"M Dettling","year":"2004","unstructured":"Dettling M (2004) BagBoosting for tumor classification with gene expression data. Bioinformatics 20(18):583\u2013593","journal-title":"Bioinformatics"},{"key":"7312_CR7","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1016\/j.neucom.2013.12.012","volume":"133","author":"D Du","year":"2014","unstructured":"Du D, Li K, Li X, Fei M (2014) A novel forward gene selection algorithm for microarray data. Neurocomputing 133:446\u2013458","journal-title":"Neurocomputing"},{"issue":"8","key":"7312_CR8","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27(8):861\u2013874","journal-title":"Pattern Recogn Lett"},{"issue":"6","key":"7312_CR9","doi-asserted-by":"publisher","first-page":"1550027","DOI":"10.1142\/S0218539315500278","volume":"22","author":"K Gao","year":"2015","unstructured":"Gao K, Khoshgoftaar TM, Napolitano A (2015) An empirical investigation of combining filter-based feature subset selection and data sampling for software defect prediction. Int J Reliab, Qual Saf Eng 22(6):1550027","journal-title":"Int J Reliab, Qual Saf Eng"},{"issue":"5439","key":"7312_CR10","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1126\/science.286.5439.531","volume":"286","author":"T Golub","year":"1999","unstructured":"Golub T, Slonim D, Tamayo P, Huard C, Gaasenbeek M, Mesirov J, Coller H, Loh M, Downing J, Caligiuri M, Bloomfield C (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286(5439):531\u2013537","journal-title":"Science"},{"key":"7312_CR11","doi-asserted-by":"publisher","first-page":"103136","DOI":"10.1016\/j.jbi.2019.103136","volume":"92","author":"A Halder","year":"2019","unstructured":"Halder A, Kumar A (2019) Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data. J Biomed Inform 92:103136","journal-title":"J Biomed Inform"},{"issue":"8","key":"7312_CR12","doi-asserted-by":"publisher","first-page":"2239","DOI":"10.1016\/j.patcog.2013.01.002","volume":"46","author":"A Halder","year":"2013","unstructured":"Halder A, Ghosh S, Ghosh A (2013) Aggregation pheromone metaphor for semi-supervised classification. Pattern Recogn 46(8):2239\u20132248","journal-title":"Pattern Recogn"},{"key":"7312_CR13","unstructured":"Hall MA (1999) Correlation-based feature selection for machine learning. Ph.D. Thesis, The University of Waikato, Hamilton, New Zealand"},{"issue":"42","key":"7312_CR14","doi-asserted-by":"publisher","first-page":"5871","DOI":"10.1016\/j.tcs.2011.05.040","volume":"412","author":"R Jensen","year":"2011","unstructured":"Jensen R, Cornelis C (2011) Fuzzy-rough nearest neighbour classification and prediction. Theoret Comput Sci 412(42):5871\u20135884","journal-title":"Theoret Comput Sci"},{"issue":"4","key":"7312_CR15","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1109\/TFUZZ.2008.924209","volume":"17","author":"R Jensen","year":"2009","unstructured":"Jensen R, Shen Q (2009) A new approaches to fuzzy-rough feature selection. IEEE Trans Fuzzy Syst 17(4):310\u2013319","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"7","key":"7312_CR16","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1038\/89044","volume":"6","author":"J Khan","year":"2001","unstructured":"Khan J, Wei J, Ringner M, Saal L, Ladanyi M, Westermann F, Berthold F, Schwab M, Antonescu C, Peterson C, Meltzer P (2001) Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat Med 6(7):673\u2013679","journal-title":"Nat Med"},{"key":"7312_CR17","volume-title":"Introductory mathematical statistics","author":"E Kreyszig","year":"1970","unstructured":"Kreyszig E (1970) Introductory mathematical statistics, 1st edn. Wily, Hoboken","edition":"1"},{"key":"7312_CR18","doi-asserted-by":"crossref","unstructured":"Kumar A, Halder A (2019) Active learning using fuzzy-rough nearest neighbor classifier for cancer prediction from microarray gene expression data. Int J Pattern Recog Artif Intell 34(1):2057001","DOI":"10.1142\/S0218001420570013"},{"key":"7312_CR19","doi-asserted-by":"crossref","unstructured":"Kumar A, Halder A (2020) Ensemble-based active learning using fuzzy-rough approach for cancer sample classification. Eng Appl Artif Intell 91:103591","DOI":"10.1016\/j.engappai.2020.103591"},{"key":"7312_CR20","unstructured":"Liu H, Setiono R (1996) A probabilistic approach to feature selection - a filter solution. In: 13th international conference on machine learning. pp 319\u2013327"},{"issue":"4","key":"7312_CR21","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/S0306-4379(02)00072-8","volume":"28","author":"Y Lu","year":"2003","unstructured":"Lu Y, Han J (2003) Cancer classification using gene expression data. Inform Syst, Spec issue: Data Manag bioinform 28(4):243\u2013268","journal-title":"Inform Syst, Spec issue: Data Manag bioinform"},{"issue":"4","key":"7312_CR22","first-page":"475","volume":"80","author":"P Maji","year":"2007","unstructured":"Maji P, Pal S (2007) RFCM: a hybrid clustering algorithm using rough and fuzzy sets. Fund Inform 80(4):475\u2013496","journal-title":"Fund Inform"},{"issue":"2","key":"7312_CR23","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.cmpb.2006.06.008","volume":"83","author":"D Maroulis","year":"2006","unstructured":"Maroulis D, Flaounas I, Iakovidis D, Karkanis S (2006) Microarray-MD: a system for exploratory analysis of microarray gene expression data. Comput Methods Programs Biomed 83(2):157\u2013167","journal-title":"Comput Methods Programs Biomed"},{"issue":"2","key":"7312_CR24","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1109\/TNB.2014.2312132","volume":"13","author":"U Maulik","year":"2014","unstructured":"Maulik U, Chakraborty D (2014) Fuzzy preference based feature selection and semisupervised SVM for cancer classification. IEEE Trans NanoBiosci 13(2):1146\u20131156","journal-title":"IEEE Trans NanoBiosci"},{"key":"7312_CR25","doi-asserted-by":"crossref","unstructured":"Pawlak Z (1991) Rough sets, vol 9 of Theory and Decision Library. Springer, Netherlands","DOI":"10.1007\/978-94-011-3534-4_2"},{"issue":"5","key":"7312_CR26","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11(5):341\u2013356","journal-title":"Int J Comput Inform Sci"},{"key":"7312_CR27","first-page":"185","volume-title":"Advances in Kernel methods - support vector learning","author":"JC Platt","year":"1998","unstructured":"Platt JC (1998) Fast training of support vector machines using sequential minimal optimization. In: Schoelkopf B, Burges CJC, Smola AJ (eds) Advances in Kernel methods - support vector learning. The MIT Press, USA, pp 185\u2013208"},{"issue":"2","key":"7312_CR28","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/S1535-6108(02)00030-2","volume":"1","author":"D Singh","year":"2002","unstructured":"Singh D, Febbo PG, Ross K, Jackson DG, Manola J, add C, Tamayo P, Renshaw AA, D\u2019Amico AV, Richie JP (2002) Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1(2):203\u2013209","journal-title":"Cancer Cell"},{"key":"7312_CR29","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511615535","volume-title":"Microarray Bioinformatics","author":"D Stekel","year":"2003","unstructured":"Stekel D (2003) Microarray Bioinformatics, 1st edn. Cambridge University Press, Cambridge, UK","edition":"1"},{"issue":"9","key":"7312_CR30","doi-asserted-by":"publisher","first-page":"1610","DOI":"10.1109\/TPAMI.2009.190","volume":"32","author":"Y Sun","year":"2010","unstructured":"Sun Y, Todorovic S, Goodison S (2010) Local-learning-based feature selection for high-dimensional data analysis. IEEE Trans Pattern Anal Mach Intell 32(9):1610\u20131626","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"7312_CR31","doi-asserted-by":"crossref","unstructured":"Tan P, Tan S, Lim C, Khor S (2011) A modified two-stage SVM-RFE model for cancer classification using microarray data. In: Lu B, Zhang L, Kwok J (eds) Neural Information Processing, vol 7062 of Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, pp 668\u2013675","DOI":"10.1007\/978-3-642-24955-6_79"},{"key":"7312_CR32","unstructured":"Technology Agency for Science and Research(2022). Kent ridge bio-medical dataset repository. http:\/\/datam.i2r.astar.edu.sg\/datasets\/krbd\/index.html"},{"key":"7312_CR33","volume-title":"Pattern recognition principles","author":"J Tou","year":"1977","unstructured":"Tou J, Gonzalez R (1977) Pattern recognition principles, 2nd edn. Addison-Wesley, Massachusetts","edition":"2"},{"key":"7312_CR34","unstructured":"Tukey JW (1977) Exploratory data analysis. Behavioral Science: Quantitative Methods. Addison-Wesley, Reading, Mass"},{"key":"7312_CR35","doi-asserted-by":"crossref","unstructured":"Wang S, Tang J, Liu H (2016) Feature selection. In: Sammut C, Webb G (eds.), Encyclopedia of machine learning and data mining, Springer US, 2nd edition, pp 1\u20139","DOI":"10.1007\/978-1-4899-7502-7_101-1"},{"key":"7312_CR36","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.neucom.2012.03.016","volume":"93","author":"D Wei","year":"2012","unstructured":"Wei D, Li S, Tan M (2012) Graph embedding based feature selection. Neurocomputing 93:115\u2013125","journal-title":"Neurocomputing"},{"issue":"3","key":"7312_CR37","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L Zadeh","year":"1965","unstructured":"Zadeh L (1965) Fuzzy sets. Inf Control 8(3):338\u2013353","journal-title":"Inf Control"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07312-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-022-07312-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-022-07312-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,29]],"date-time":"2022-10-29T12:05:01Z","timestamp":1667045101000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-022-07312-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,12]]},"references-count":37,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["7312"],"URL":"https:\/\/doi.org\/10.1007\/s00500-022-07312-4","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,12]]},"assertion":[{"value":"9 May 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 July 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Conflict of interest declared NONE by the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Publically available datasets are used for the experiments. No human\/ animals are directly involved.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research involving human participants and\/or animals"}},{"value":"Authors declare that this article does not contain any studies with human participants or animals performed by any of the authors.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}