{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:03:17Z","timestamp":1742929397755,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030042202"},{"type":"electronic","value":"9783030042219"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-04221-9_46","type":"book-chapter","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T12:32:16Z","timestamp":1542371536000},"page":"517-527","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks"],"prefix":"10.1007","author":[{"given":"Gautam Kishore","family":"Shahi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Imanol","family":"Bilbao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elisa","family":"Capecci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Durgesh","family":"Nandini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Choukri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikola","family":"Kasabov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,17]]},"reference":[{"issue":"3","key":"46_CR1","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1097\/ACM.0b013e3182806345","volume":"88","author":"K Cornetta","year":"2013","unstructured":"Cornetta, K., Brown, C.G.: Perspective: balancing personalized medicine and personalized care. Acad. Med.: J. Assoc. Am. Med. Coll. 88(3), 309 (2013)","journal-title":"Acad. Med.: J. Assoc. Am. Med. Coll."},{"issue":"7","key":"46_CR2","doi-asserted-by":"publisher","first-page":"e2003082","DOI":"10.1371\/journal.pbio.2003082","volume":"15","author":"MC Dunn","year":"2017","unstructured":"Dunn, M.C., Bourne, P.E.: Building the biomedical data science workforce. PLoS Biol. 15(7), e2003082 (2017)","journal-title":"PLoS Biol."},{"issue":"12","key":"46_CR3","doi-asserted-by":"publisher","first-page":"1896","DOI":"10.1002\/jcp.24662","volume":"229","author":"CS Greene","year":"2014","unstructured":"Greene, C.S., Tan, J., Ung, M., Moore, J.H., Cheng, C.: Big data bioinformatics. J. Cell. Physiol. 229(12), 1896\u20131900 (2014)","journal-title":"J. Cell. Physiol."},{"issue":"3","key":"46_CR4","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1093\/bib\/bbp012","volume":"10","author":"LJ Lancashire","year":"2009","unstructured":"Lancashire, L.J., Lemetre, C., Ball, G.R.: An introduction to artificial neural networks in bioinformatics-application to complex microarray and mass spectrometry datasets in cancer studies. Brief. Bioinform. 10(3), 315\u2013329 (2009). https:\/\/doi.org\/10.1093\/bib\/bbp012","journal-title":"Brief. Bioinform."},{"issue":"9","key":"46_CR5","doi-asserted-by":"publisher","first-page":"e184","DOI":"10.1371\/journal.pmed.0050184","volume":"5","author":"A Ramasamy","year":"2008","unstructured":"Ramasamy, A., Mondry, A., Holmes, C.C., Altman, D.G.: Key issues in conducting a meta-analysis of gene expression microarray datasets. PLoS Med. 5(9), e184 (2008)","journal-title":"PLoS Med."},{"issue":"2","key":"46_CR6","doi-asserted-by":"publisher","first-page":"137","DOI":"10.3109\/10409238.2011.556597","volume":"46","author":"A Ay","year":"2011","unstructured":"Ay, A., Arnosti, D.N.: Mathematical modeling of gene expression: a guide for the perplexed biologist. Crit. Rev. Biochem. Mol. Biol. 46(2), 137\u2013151 (2011)","journal-title":"Crit. Rev. Biochem. Mol. Biol."},{"key":"46_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84628-347-5","volume-title":"Evolving Connectionist Systems: The Knowledge Engineering Approach","author":"NK Kasabov","year":"2007","unstructured":"Kasabov, N.K.: Evolving Connectionist Systems: The Knowledge Engineering Approach. Springer, London (2007). https:\/\/doi.org\/10.1007\/978-1-84628-347-5"},{"issue":"5","key":"46_CR8","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1016\/j.neunet.2009.06.038","volume":"22","author":"S Schliebs","year":"2009","unstructured":"Schliebs, S., Defoin-Platel, M., Worner, S., Kasabov, N.: Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models. Neural Netw. 22(5), 623\u2013632 (2009)","journal-title":"Neural Netw."},{"issue":"06","key":"46_CR9","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1142\/S012906571000253X","volume":"20","author":"S Soltic","year":"2010","unstructured":"Soltic, S., Kasabov, N.: Knowledge extraction from evolving spiking neural networks with a rank order population coding. Int. J. Neural Syst. 20(06), 437\u2013445 (2010)","journal-title":"Int. J. Neural Syst."},{"issue":"7","key":"46_CR10","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1016\/j.neunet.2010.04.009","volume":"23","author":"SG Wysoski","year":"2010","unstructured":"Wysoski, S.G., Benuskova, L., Kasabov, N.: Evolving spiking neural networks for audiovisual information processing. Neural Netw. 23(7), 819\u2013835 (2010)","journal-title":"Neural Netw."},{"issue":"2","key":"46_CR11","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/s12530-013-9074-9","volume":"4","author":"S Schliebs","year":"2013","unstructured":"Schliebs, S., Kasabov, N.: Evolving spiking neural networks: a survey. Evol. Syst. 4(2), 87\u201398 (2013)","journal-title":"Evol. Syst."},{"issue":"6","key":"46_CR12","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1016\/j.patrec.2006.08.007","volume":"28","author":"N Kasabov","year":"2007","unstructured":"Kasabov, N.: Global, local and personalised modeling and pattern discovery in bioinformatics: an integrated approach. Pattern Recognit. Lett. 28(6), 673\u2013685 (2007)","journal-title":"Pattern Recognit. Lett."},{"issue":"2","key":"46_CR13","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1023\/B:NACO.0000027755.02868.60","volume":"3","author":"SM Bohte","year":"2004","unstructured":"Bohte, S.M.: The evidence for neural information processing with precise spike-times: a survey. Natural Comput. 3(2), 195\u2013206 (2004)","journal-title":"Natural Comput."},{"key":"46_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1229","DOI":"10.1007\/978-3-642-02490-0_149","volume-title":"Advances in Neuro-Information Processing","author":"S Schliebs","year":"2009","unstructured":"Schliebs, S., Defoin-Platel, M., Kasabov, N.: Integrated feature and parameter optimization for an evolving spiking neural network. In: K\u00f6ppen, M., Kasabov, N., Coghill, G. (eds.) ICONIP 2008. LNCS, vol. 5506, pp. 1229\u20131236. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-02490-0_149"},{"issue":"1","key":"46_CR15","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/S0925-2312(01)00658-0","volume":"48","author":"SM Bohtea","year":"2002","unstructured":"Bohtea, S.M., Koka, J.N., La Poutr, H.: Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing 48(1), 17\u201337 (2002)","journal-title":"Neurocomputing"},{"key":"46_CR16","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1016\/S0925-2312(99)00095-8","volume":"26","author":"A Delorme","year":"1999","unstructured":"Delorme, A., Gautrais, J., Van Rullen, R., Thorpe, S.: Spikenet: a simulator for modeling large networks of integrate and fire neurons. Neurocomputing 26, 989\u2013996 (1999)","journal-title":"Neurocomputing"},{"key":"46_CR17","unstructured":"Thorpe, S.J., Gautrais, J.: Rapid visual processing using spike asynchrony. In: Advances in Neural Information Processing Systems, pp. 901\u2013907 (1997)"},{"key":"46_CR18","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/978-1-4899-7687-1_192","volume-title":"Encyclopedia of Machine Learning and Data Mining","author":"E Keogh","year":"2017","unstructured":"Keogh, E., Mueen, A.: Curse of dimensionality. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning and Data Mining, pp. 314\u2013315. Springer, Boston (2017). https:\/\/doi.org\/10.1007\/978-1-4899-7687-1_192"},{"issue":"D1","key":"46_CR19","doi-asserted-by":"publisher","first-page":"D991","DOI":"10.1093\/nar\/gks1193","volume":"41","author":"T Barrett","year":"2012","unstructured":"Barrett, T., et al.: NCBI GEO: archive for functional genomics data setsupdate. Nucleic Acids Res. 41(D1), D991\u2013D995 (2012)","journal-title":"Nucleic Acids Res."},{"issue":"7","key":"46_CR20","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.3945\/jn.111.155283","volume":"142","author":"SJ van Dijk","year":"2012","unstructured":"van Dijk, S.J., et al.: Consumption of a high monounsaturated fat diet reduces oxidative phosphorylation gene expression in peripheral blood mononuclear cells of abdominally overweight men and women\u20134. J. Nutr. 142(7), 1219\u20131225 (2012)","journal-title":"J. Nutr."},{"issue":"6","key":"46_CR21","doi-asserted-by":"publisher","first-page":"1656","DOI":"10.3945\/ajcn.2009.27792","volume":"90","author":"SJ van Dijk","year":"2009","unstructured":"van Dijk, S.J., et al.: A saturated fatty acid-rich diet induces an obesity-linked proinflammatory gene expression profile in adipose tissue of subjects at risk of metabolic syndrome-. Am. J. Clin. Nutr. 90(6), 1656\u20131664 (2009)","journal-title":"Am. J. Clin. Nutr."},{"issue":"5","key":"46_CR22","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1038\/ng0506-500","volume":"38","author":"M Reich","year":"2006","unstructured":"Reich, M., Liefeld, T., Gould, J., Lerner, J., Tamayo, P., Mesirov, J.P.: Genepattern 2.0. Nat. Genet. 38(5), 500 (2006)","journal-title":"Nat. Genet."},{"issue":"8","key":"46_CR23","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27(8), 1226\u20131238 (2005)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"46_CR24","doi-asserted-by":"crossref","unstructured":"Argyriou, A., Evgeniou, T., Pontil, M.: Multi-task feature learning. In: Advances in Neural Information Processing Systems, pp. 41\u201348 (2007)","DOI":"10.7551\/mitpress\/7503.003.0010"},{"key":"46_CR25","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.neunet.2012.11.014","volume":"41","author":"N Kasabov","year":"2013","unstructured":"Kasabov, N., Dhoble, K., Nuntalid, N., Indiveri, G.: Dynamic evolving spiking neural networks for on-line spatio-and spectro-temporal pattern recognition. Neural Netw. 41, 188\u2013201 (2013)","journal-title":"Neural Netw."},{"key":"46_CR26","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1007\/978-3-642-30574-0_37","volume-title":"Springer Handbook of Bio-\/Neuroinformatics","author":"S Schliebs","year":"2014","unstructured":"Schliebs, S., Kasabov, N.: Computational modeling with spiking neural networks. In: Kasabov, N. (ed.) Springer Handbook of Bio-\/Neuroinformatics, pp. 625\u2013646. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-642-30574-0_37"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04221-9_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T12:44:54Z","timestamp":1710333894000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-04221-9_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030042202","9783030042219"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04221-9_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"17 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Siem Reap","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/iconip\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"575","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"401","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}