{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T00:21:02Z","timestamp":1778977262066,"version":"3.51.4"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2012,1,31]],"date-time":"2012-01-31T00:00:00Z","timestamp":1327968000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2013,3]]},"DOI":"10.1007\/s00521-012-0847-z","type":"journal-article","created":{"date-parts":[[2012,1,30]],"date-time":"2012-01-30T05:26:08Z","timestamp":1327901168000},"page":"457-468","source":"Crossref","is-referenced-by-count":32,"title":["Classification of bioinformatics dataset using finite impulse response extreme learning machine for cancer diagnosis"],"prefix":"10.1007","volume":"22","author":[{"given":"Kevin","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihong","family":"Man","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dianhui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenwei","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,1,31]]},"reference":[{"key":"847_CR1","volume-title":"A practical approach to microarray data analysis","author":"S Dudoit","year":"2002","unstructured":"Dudoit S, Fridlyand J (2002) Introduction to classification in microarray experiments. In: Berrar D, Dubitzky W, Granzow M (eds) A practical approach to microarray data analysis. Kluwer, Boston"},{"issue":"4","key":"847_CR2","doi-asserted-by":"crossref","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 28(4):243\u2013268","journal-title":"Inform Syst"},{"key":"847_CR3","volume-title":"Handbook of statistical genetics","author":"W Huber","year":"2003","unstructured":"Huber W, Heydebreck AC, Vingron M (2003) Analysis of microarray gene expression data. In: Bishop M et al (eds) Handbook of statistical genetics. Wiley, Chichester"},{"issue":"7","key":"847_CR4","doi-asserted-by":"crossref","first-page":"1112","DOI":"10.1101\/gr.225302","volume":"12","author":"J Misra","year":"2002","unstructured":"Misra J, Schmitt W, Hwang D, Hsiao L, Gullans S, Stephanopoulos G (2002) Interactive exploration of microarray gene expression patterns in a reduced dimensional space. Genome Res 12(7):1112\u20131120","journal-title":"Genome Res"},{"key":"847_CR5","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/0-306-47815-3_5","volume-title":"A practical approach to microarray data analysis","author":"ME Wall","year":"2003","unstructured":"Wall ME, Rechtsteiner A, Rocha LM (2003) Singular value decomposition and principal component analysis. In: Berrar DP, Dubitzky W, Granzow M (eds) A practical approach to microarray data analysis. Kluwer, Norwell, pp 91\u2013109"},{"key":"847_CR6","doi-asserted-by":"crossref","unstructured":"Liao X, Dasgupta N, Lin SM, Carin L (2002) ICA and PLS modelling for functional analysis and drug sensitivity for DNA microarray signals. In Proceedings of workshop on genomic signal processing and statistics","DOI":"10.1109\/ICASSP.2002.5745504"},{"key":"847_CR7","unstructured":"Chen A, Hsu J-C (2010) Exploring novel algorithms for the prediction of cancer classification. In: 2nd international conference on software engineering and data mining (SEDM), pp 378\u2013383"},{"issue":"3","key":"847_CR8","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1109\/tcbb.2007.1012","volume":"4","author":"R Zhang","year":"2007","unstructured":"Zhang R, Huang G-B, Sundararajan N, Saratchandran P (2007) Multicategory classification using an extreme learning machine for microarray gene expression cancer diagnosis. IEEE\/ACM Trans Comput Biol Bioinform 4(3):485\u2013495","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"26","key":"847_CR9","doi-asserted-by":"crossref","first-page":"15149","DOI":"10.1073\/pnas.211566398","volume":"98","author":"S Ramaswamy","year":"2002","unstructured":"Ramaswamy S, Tamayo P, Rifkin R, Mukherjee S, Yeang C-H, Angelo M, Ladd C, Reich M, Latulippe E, Mesirov J, Poggio T, Gerald W, Loda M, Lander E, Golub T (2002) Multiclass cancer diagnosis using tumor gene expression signatures. Proc Natl Acad Sci USA 98(26):15149\u201315154","journal-title":"Proc Natl Acad Sci USA"},{"key":"847_CR10","unstructured":"Baboo D, Sasikala M (2010) Multicategory classification using support vector machine for microarray gene expression cancer diagnosis. Global J Comput Sci Technol"},{"key":"847_CR11","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"1999","unstructured":"Vapnik VN (1999) The nature of statistical learning theory, 2nd edn. Springer, New York","edition":"2"},{"key":"847_CR12","volume-title":"Support vector machines for pattern classification","author":"S Abe","year":"2005","unstructured":"Abe S (2005) Support vector machines for pattern classification. Springer, London"},{"key":"847_CR13","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Zhu QY, Siew CK (2006) Extreme learning machine: theory and applications. Neurocomputing 70:489\u2013501","journal-title":"Neurocomputing"},{"key":"847_CR14","doi-asserted-by":"crossref","unstructured":"Helmy T, Rasheed Z (2009) Multi-category bioinformatics dataset classification using extreme learning machine. Evolutionary computation, 2009. CEC \u201809. IEEE congress on, pp 3234\u20133240","DOI":"10.1109\/CEC.2009.4983354"},{"key":"847_CR15","doi-asserted-by":"crossref","unstructured":"Sanchez-Monedero J, Cruz-Ramirez M, Fernandez-Navarro F, Fernandez J, Gutierrez P, Hervas-Martinez C (2010) On the suitability of extreme learning machine for gene classification using feature selection. Intelligent systems design and applications (ISDA), 2010 10th international conference on, pp 507\u2013512","DOI":"10.1109\/ISDA.2010.5687215"},{"key":"847_CR16","doi-asserted-by":"crossref","unstructured":"Baboo S, Sasikala S (2010) Multicategory classification using an Extreme Learning Machine for microarray gene expression cancer diagnosis. Communication control and computing technologies (ICCCCT), 2010 IEEE international conference on, pp 748\u2013757","DOI":"10.1109\/ICCCCT.2010.5670741"},{"key":"847_CR17","doi-asserted-by":"crossref","unstructured":"Bharathi A, Natarajan A (2010) Microarray gene expression cancer diagnosis using machine learning algorithms. Signal and image processing (ICSIP), 2010 international conference on, pp 275\u2013280","DOI":"10.1109\/ICSIP.2010.5697483"},{"issue":"16","key":"847_CR18","doi-asserted-by":"crossref","first-page":"2491","DOI":"10.1016\/j.neucom.2010.11.033","volume":"74","author":"Z Man","year":"2011","unstructured":"Man Z, Lee K, Wang D, Cao Z, Miao C (2011) A new robust training algorithm for a class of single-hidden layer feedforward neural networks. Neurocomputing 74(16):2491\u20132501","journal-title":"Neurocomputing"},{"key":"847_CR19","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139164580","volume-title":"Digital signal processing system analysis and design","author":"PSR Diniz","year":"2002","unstructured":"Diniz PSR, Silva EABD, Netto SL (2002) Digital signal processing system analysis and design. Cambridge University Press, Cambridge"},{"issue":"2","key":"847_CR20","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1109\/TCBB.2008.90","volume":"7","author":"G Unger","year":"2010","unstructured":"Unger G, Chor B (2010) Linear separability of gene expression data sets. IEEE\/ACM Trans Comput Biol Bioinform 7(2):375\u2013381","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"issue":"20","key":"847_CR21","doi-asserted-by":"crossref","first-page":"12975","DOI":"10.1073\/pnas.162468199","volume":"99","author":"JP Brody","year":"2002","unstructured":"Brody JP, Williams BA, Wold BJ, Quake SR (2002) Significance and statistical errors in the analysis of DNA microarray data. Proc Natl Acad Sci USA 99(20):12975\u201312978","journal-title":"Proc Natl Acad Sci USA"},{"issue":"11","key":"847_CR22","doi-asserted-by":"crossref","first-page":"2768","DOI":"10.1109\/TSP.2002.804092","volume":"50","author":"G Arce","year":"2002","unstructured":"Arce G, Li Y (2002) Median power and median correlation theory. IEEE Trans Signal Process 50(11):2768\u20132776","journal-title":"IEEE Trans Signal Process"},{"key":"847_CR23","volume-title":"Advances in neural information processing systems, 22","author":"R Salakhutdinov","year":"2009","unstructured":"Salakhutdinov R (2009) Learning in Markov random fields using tempered transitions. In: Bengio Y, Schuurmans D, Lafferty J, Williams C, Culota A (eds) Advances in neural information processing systems, 22. MIT Press, Cambridge"},{"key":"847_CR24","doi-asserted-by":"crossref","unstructured":"Yang L, Yan H, Dong YX, Fei LY (2010) A kind of correlation classification distance of whole phase based on weight. Environmental science and information application technology (ESIAT), 2010 international conference on, 3: 668\u2013671","DOI":"10.1109\/ESIAT.2010.5568438"},{"key":"847_CR25","unstructured":"Chatfield C (2004) The analysis of time series: an introduction. 6th Ed, Chapman and Hall"},{"issue":"3\/4","key":"847_CR26","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1089\/106652700750050943","volume":"7","author":"A Ben-Dor","year":"2000","unstructured":"Ben-Dor A, Bruhn A, Friedman N, Nachman I, Schummer M, Yakhini Z (2000) Tissue classification with gene expression profiles. J Computational Biol 7(3\/4):559\u2013583","journal-title":"J Computational Biol"},{"issue":"2","key":"847_CR27","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1089\/106652703321825928","volume":"10","author":"S Mukherjee","year":"2003","unstructured":"Mukherjee S, Tamayo P, Rogers S, Rifkin R, Engle A, Campbell C, Golub TR, Mesirov JP (2003) Estimating dataset size requirements for classifying DNA microarray data. J Comput Biol 10(2):119\u2013142","journal-title":"J Comput Biol"},{"key":"847_CR28","unstructured":"Miche Y, Bas P, Jutten C, Simula O, Lendasse A (2008) A methodology for building regression models using extreme learning machine: OP-ELM. In: ESANN 2008, European symposium on artificial neural networks, Bruges, Belgium"},{"key":"847_CR29","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1109\/TNN.2006.875977","volume":"17","author":"G-B Huang","year":"2006","unstructured":"Huang G-B, Chen L, Siew CK (2006) Universal approximation using incremental constructive feedforward networks with random hidden nodes. IEEE Trans Neural Netw 17:879\u2013892","journal-title":"IEEE Trans Neural Netw"},{"key":"847_CR30","unstructured":"Li J, Liu H (2004) Kent ridge bio-medical data set repository. School of Computer Engineering, Nanyang Technological University, Singapore, 2004. Online available: http:\/\/levis.tongji.edu.cn\/gzli\/data\/mirror-kentridge.html"},{"issue":"2","key":"847_CR31","first-page":"208","volume":"6","author":"AM Sarhan","year":"2009","unstructured":"Sarhan AM (2009) Cancer classification based on microarray gene expression data using DCT and ANN. J Theoretical Appl Inform Technol (JATIT) 6(2):208\u2013216","journal-title":"J Theoretical Appl Inform Technol (JATIT)"},{"key":"847_CR32","unstructured":"Ali AH (2008) Self-organization maps for prediction of kidney dysfunction. In Proceedings of 16th Telecommunications Forum TELFOR, Belgrade, Serbia"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0847-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-012-0847-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-012-0847-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,23]],"date-time":"2019-06-23T01:02:47Z","timestamp":1561251767000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-012-0847-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,1,31]]},"references-count":32,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2013,3]]}},"alternative-id":["847"],"URL":"https:\/\/doi.org\/10.1007\/s00521-012-0847-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,1,31]]}}}