{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T20:24:01Z","timestamp":1780431841212,"version":"3.54.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:00:00Z","timestamp":1618272000000},"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":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1007\/s11517-021-02350-w","type":"journal-article","created":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T18:03:21Z","timestamp":1618337001000},"page":"1005-1021","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Jaya Ant lion optimization-driven Deep recurrent neural network for cancer classification using gene expression data"],"prefix":"10.1007","volume":"59","author":[{"given":"Ramachandro","family":"Majji","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Nalinipriya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ch.","family":"Vidyadhari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Cristin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,4,13]]},"reference":[{"issue":"78","key":"2350_CR1","first-page":"78","volume":"347","author":"CT Setti","year":"2015","unstructured":"Setti CT, Vogelstein B (2015) Variation in cancer risk among tissues can be explained by the number of stem cell divisions. Br Dent J 347(78):78\u201381","journal-title":"Br Dent J"},{"key":"2350_CR2","unstructured":"Scitable by Nature Education, Gene expression. https:\/\/www.nature.com\/scitable\/topicpage\/gene-expression. Accessed March 2020"},{"key":"2350_CR3","doi-asserted-by":"crossref","unstructured":"Carpten JC, Mardis ER (2018) The era of precision oncogenomics. Article from Cold Spring Harbor Molecular Case Studies vol. 8","DOI":"10.1101\/mcs.a002915"},{"key":"2350_CR4","doi-asserted-by":"crossref","unstructured":"Kourou K, Rigas G, Papaloukas C, Mitsis M, Fotiadis DI (2020) Cancer classification from time series microarray data through regulatory dynamic Bayesian networks. Comput Biol Med 116","DOI":"10.1016\/j.compbiomed.2019.103577"},{"issue":"2","key":"2350_CR5","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.compbiomed.2009.11.014","volume":"40","author":"SL Wang","year":"2010","unstructured":"Wang SL, Li X, Zhang S, Gui J, Huang DS (2010) Tumor classification by combining PNN classier ensemble with neighborhood rough set based gene reduction. Comput Biol Med 40(2):179\u2013189","journal-title":"Comput Biol Med"},{"key":"2350_CR6","doi-asserted-by":"crossref","unstructured":"Fusco P, Cofini V, Petrucci E, Scimia P, Paladini G, Behr AU, Gobbi F, Pozone T, Danelli G, Di Marco M, Vicentini R, Necozione S, Marinangeli F (2016) Unilateral paravertebral block compared with subarachnoid anesthesia for the management of postoperative pain syndrome after inguinal herniorrhaphy: a randomized controlled. Pain 157(5)","DOI":"10.1097\/j.pain.0000000000000487"},{"key":"2350_CR7","doi-asserted-by":"crossref","unstructured":"Ma B, Meng F, Yan G, Yan H, Song F (2020) Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data. Comput Biol Med 121","DOI":"10.1016\/j.compbiomed.2020.103761"},{"issue":"6","key":"2350_CR8","doi-asserted-by":"publisher","first-page":"1936","DOI":"10.1021\/ci049810a","volume":"44","author":"Y Liu","year":"2004","unstructured":"Liu Y (2004) Active learning with support vector machine applied to gene expression data for cancer classification. J Chem Inf Comput Sci 44(6):1936\u20131941","journal-title":"J Chem Inf Comput Sci"},{"key":"2350_CR9","unstructured":"Tan AC, Gilbert D (2003) Ensemble machine learning on gene expression data for cancer classification. Appl Bioinformatics:S75\u2013S83"},{"issue":"1","key":"2350_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.46253\/jcmps.v3i1.a1","volume":"3","author":"JB Shaik","year":"2020","unstructured":"Shaik JB, Ganesh V (2020) Deep neural network and social ski-driver optimization algorithm for power system restoration with VSC - HVDC technology. J Comput Mech Power Syst Control 3(1):1\u20139","journal-title":"J Comput Mech Power Syst Control"},{"key":"2350_CR11","doi-asserted-by":"crossref","unstructured":"Lee H, Grosse R, Ranganath R, Ng AY (2009) Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. Proceedings of the 26th Annual International Conference on Machine Learning","DOI":"10.1145\/1553374.1553453"},{"key":"2350_CR12","doi-asserted-by":"crossref","unstructured":"Danaee P, Ghaeini R, Hendrix DA (2017) A deep learning approach for cancer detection and relevant gene identification. In: Pacific symposium on Biocomputing, pp. 219\u2013229","DOI":"10.1142\/9789813207813_0022"},{"issue":"9","key":"2350_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/app8091521","volume":"8","author":"L Brezocnik","year":"2018","unstructured":"Brezocnik L, Fister I Jr, Podgorelec V (2018) Swarm intelligence algorithms for feature selection:a review. Appl Sci 8(9):1\u201331","journal-title":"Appl Sci"},{"issue":"2","key":"2350_CR14","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.eij.2011.04.003","volume":"12","author":"MBA Snousy","year":"2011","unstructured":"Snousy MBA, El-Deeb HM, Badran K, Khlil IAA (2011) Suite of decision tree-based classification algorithms on cancer gene expression data. Egypt Informat J 12(2):73\u201382","journal-title":"Egypt Informat J"},{"issue":"6","key":"2350_CR15","doi-asserted-by":"publisher","first-page":"2089","DOI":"10.1109\/TCBB.2018.2822803","volume":"16","author":"RK Sevakula","year":"2018","unstructured":"Sevakula RK, Singh V, Verma NK, Kumar C, Cui Y (2018) Transfer learning for molecular cancer classification using deep neural networks. IEEE\/ACM Trans Comput Biol Bioinform 16(6):2089\u20132100","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"2350_CR16","doi-asserted-by":"crossref","unstructured":"Chen Y (2020) Crowd behaviour recognition using Enhanced Butterfly Optimization Algorithm based Recurrent Neural Network. Multimedia Res 3(3)","DOI":"10.46253\/j.mr.v3i3.a3"},{"issue":"1","key":"2350_CR17","first-page":"28","volume":"1","author":"V Bhagyalakshmi","year":"2018","unstructured":"Bhagyalakshmi V, Ramchandra, Geeta D (2018) Arrhythmia classification using cat swarm optimization based support vector neural network. J Netw Commun Syst 1(1):28\u201335","journal-title":"J Netw Commun Syst"},{"issue":"4","key":"2350_CR18","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1089\/cmb.2004.11.581","volume":"11","author":"P Helman","year":"2004","unstructured":"Helman P, Veroff R, Atlas SR, Willman C (2004) A Bayesian network classification methodology for gene expression data. J Comput Biol J Comput Mol Cell Biol 11(4):581\u2013615","journal-title":"J Comput Biol J Comput Mol Cell Biol"},{"key":"2350_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2464-8_8","volume-title":"Active learning using fuzzy k-NN for cancer classification from microarray gene expression data","author":"A Halder","year":"2015","unstructured":"Halder A, Dey S, Kumar A (2015) Active learning using fuzzy k-NN for cancer classification from microarray gene expression data. Springer, India"},{"issue":"3","key":"2350_CR20","first-page":"369","volume":"2","author":"A Bharathi","year":"2010","unstructured":"Bharathi A, Natarajan AM (2010) Cancer classification of bioinformatics data using ANOVA. Cell Mol Life Sci 2(3):369\u2013373","journal-title":"Cell Mol Life Sci"},{"key":"2350_CR21","doi-asserted-by":"publisher","first-page":"100661","DOI":"10.1016\/j.swevo.2020.100661","volume":"54","author":"AK Shukla","year":"2020","unstructured":"Shukla AK, Singh P, Vardhan M (2020) Gene selection for cancer types classification using novel hybrid metaheuristics approach. Swarm Evol Comput 54:100661","journal-title":"Swarm Evol Comput"},{"key":"2350_CR22","doi-asserted-by":"crossref","unstructured":"Sah A, Choudhury T, Rawat S, Tripathi A (2020) A proposed gene selection approach for disease detection. In: Computational intelligence in pattern recognition. Springer, pp 199\u2013206","DOI":"10.1007\/978-981-15-2449-3_16"},{"key":"2350_CR23","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.neucom.2018.06.084","volume":"348","author":"Q Liao","year":"2019","unstructured":"Liao Q, Ding Y, Jiang ZL, Wang X, Zhang C, Zhang Q (2019) Multi-task deep convolutional neural network for cancer diagnosis. Neurocomputing 348:66\u201373","journal-title":"Neurocomputing"},{"key":"2350_CR24","doi-asserted-by":"crossref","unstructured":"Lu H, Gao H, Ye M, Wang X (2019) A hybrid ensemble algorithm combining AdaBoost and genetic algorithm for cancer classification with gene expression data. IEEE\/ACM Trans Comput Biol Bioinform","DOI":"10.1109\/TCBB.2019.2952102"},{"key":"2350_CR25","doi-asserted-by":"publisher","first-page":"22086","DOI":"10.1109\/ACCESS.2019.2898723","volume":"7","author":"J Xu","year":"2019","unstructured":"Xu J, Wu P, Chen Y, Meng Q, Dawood H, Khan MM (2019) A novel deep flexible neural forest model for classification of cancer subtypes based on gene expression data. IEEE Access 7:22086\u201322095","journal-title":"IEEE Access"},{"key":"2350_CR26","doi-asserted-by":"crossref","unstructured":"Chaudhari P, Agarwal H, Bhateja V (2019) Data augmentation for cancer classification in oncogenomics: an improved KNN based approach. Evol Intel:1\u201310","DOI":"10.1007\/s12065-019-00283-w"},{"key":"2350_CR27","unstructured":"Mudiyanselage TKB, Xiao X, Zhang Y, Pan Y (2019) Deep fuzzy neural networks for biomarker selection for accurate cancer detection. IEEE Trans Fuzzy Syst"},{"issue":"3","key":"2350_CR28","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1016\/j.jesit.2017.06.001","volume":"5","author":"P Dinakara Prasad Reddy","year":"2018","unstructured":"Dinakara Prasad Reddy P, Veera Reddy VC, Gowri MT (2018) Ant lion optimization algorithm for optimal sizing of renewable energy resources for loss reduction in distribution systems. J Electr Syst Inf Technol 5(3):663\u2013680","journal-title":"J Electr Syst Inf Technol"},{"issue":"1","key":"2350_CR29","first-page":"19","volume":"7","author":"R Venkata Rao","year":"2016","unstructured":"Venkata Rao R (2016) Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int J Ind Eng Comput 7(1):19\u201334","journal-title":"Int J Ind Eng Comput"},{"issue":"5","key":"2350_CR30","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1093\/bioinformatics\/btg040","volume":"19","author":"J Herrero","year":"2003","unstructured":"Herrero J, Diaz-Uriarte R, Dopazo J (2003) Gene expression data preprocessing. Bioinf Appl Note 19(5):655\u2013656","journal-title":"Bioinf Appl Note"},{"key":"2350_CR31","first-page":"1457","volume":"5","author":"PO Hoyer","year":"2004","unstructured":"Hoyer PO (2004) Non-negative matrix factorization with sparseness constraints. J Mach Learn Res 5:1457\u20131469","journal-title":"J Mach Learn Res"},{"issue":"2","key":"2350_CR32","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s10015-017-0422-x","volume":"23","author":"M Inoue","year":"2018","unstructured":"Inoue M, Inoue S, Nishida T (2018) Deep recurrent neural network for mobile human activity recognition with high throughput. Artif Life Robot 23(2):173\u2013185","journal-title":"Artif Life Robot"},{"key":"2350_CR33","unstructured":"AP_Colon_Kidney dataset taken from https:\/\/www.openml.org\/d\/1137. Accessed April 2020"},{"key":"2350_CR34","unstructured":"AP_Breast_Ovary dataset taken from https:\/\/www.openml.org\/d\/1165. Accessed on April 2020"},{"key":"2350_CR35","unstructured":"AP_Breast_Colon dataset taken from https:\/\/www.openml.org\/d\/1145. Accessed on April 2020"},{"key":"2350_CR36","unstructured":"AP_Breast_Kidney dataset taken from https:\/\/www.openml.org\/d\/1158. Accessed on April 2020"}],"container-title":["Medical & Biological Engineering & Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-021-02350-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-021-02350-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-021-02350-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T03:30:24Z","timestamp":1620790224000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-021-02350-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,13]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["2350"],"URL":"https:\/\/doi.org\/10.1007\/s11517-021-02350-w","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,13]]},"assertion":[{"value":"26 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 April 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}