{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T19:37:36Z","timestamp":1725910656179},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811063879"},{"type":"electronic","value":"9789811063886"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-6388-6_24","type":"book-chapter","created":{"date-parts":[[2017,9,15]],"date-time":"2017-09-15T10:13:30Z","timestamp":1505470410000},"page":"293-301","source":"Crossref","is-referenced-by-count":0,"title":["Supervised Learning for Gene Regulatory Network Based on Flexible Neural Tree Model"],"prefix":"10.1007","author":[{"given":"Bin","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,16]]},"reference":[{"issue":"2","key":"24_CR1","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1039\/C5MB00560D","volume":"12","author":"J Wu","year":"2016","unstructured":"Wu, J., Zhao, X., Lin, Z., Shao, Z.: Large scale gene regulatory network inference with a multi-level strategy. Mol. BioSyst. 12(2), 588\u2013597 (2016)","journal-title":"Mol. BioSyst."},{"key":"24_CR2","doi-asserted-by":"crossref","first-page":"1650010","DOI":"10.1142\/S0219720016500104","volume":"4","author":"S Mandal","year":"2016","unstructured":"Mandal, S., Khan, A., Saha, G., Pal, R.K.: Reverse engineering of gene regulatory networks based on S-systems and Bat algorithm. J. Bioinform. Comput. Biol. 4, 1650010 (2016)","journal-title":"J. Bioinform. Comput. Biol."},{"key":"24_CR3","doi-asserted-by":"crossref","first-page":"20533","DOI":"10.1038\/srep20533","volume":"6","author":"N Omranian","year":"2016","unstructured":"Omranian, N., Eloundou-Mbebi, J.M., Mueller-Roeber, B., Nikoloski, Z.: Gene regulatory network inference using fused LASSO on multiple data sets. Sci. Rep. 6, 20533 (2016)","journal-title":"Sci. Rep."},{"issue":"21","key":"24_CR4","doi-asserted-by":"crossref","first-page":"e166","DOI":"10.1093\/nar\/gku916","volume":"42","author":"DC Ellwanger","year":"2014","unstructured":"Ellwanger, D.C., Leonhardt, J.F., Mewes, H.W.: Large-scale modeling of condition-specific gene regulatory networks by information integration and inference. Nucleic Acids Res. 42(21), e166 (2014)","journal-title":"Nucleic Acids Res."},{"key":"24_CR5","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1186\/1752-0509-8-37","volume":"8","author":"P Vera-Licona","year":"2014","unstructured":"Vera-Licona, P., Jarrah, A., Garcia-Puente, L.D., McGee, J., Laubenbacher, R.: An algebra-based method for inferring gene regulatory networks. BMC Syst. Biol. 8, 37 (2014)","journal-title":"BMC Syst. Biol."},{"issue":"4","key":"24_CR6","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s00404-014-3264-y","volume":"290","author":"Y Xie","year":"2014","unstructured":"Xie, Y., Wang, R., Zhu, J.: Construction of breast cancer gene regulatory networks and drug target optimization. Arch. Gynecol. Obstet. 290(4), 749\u2013755 (2014)","journal-title":"Arch. Gynecol. Obstet."},{"issue":"12","key":"24_CR7","doi-asserted-by":"crossref","first-page":"i97","DOI":"10.1093\/bioinformatics\/btv267","volume":"31","author":"CA Penfold","year":"2015","unstructured":"Penfold, C.A., Millar, J.B., Wild, D.L.: Inferring orthologous gene regulatory networks using interspecies data fusion. Bioinformatics 31(12), i97\u2013i105 (2015)","journal-title":"Bioinformatics"},{"issue":"4","key":"24_CR8","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1089\/cmb.2014.0296","volume":"22","author":"B Baur","year":"2015","unstructured":"Baur, B., Bozdag, S.: A canonical correlation analysis-based dynamic bayesian network prior to infer gene regulatory networks from multiple types of biological data. J. Comput. Biol. 22(4), 289\u2013299 (2015)","journal-title":"J. Comput. Biol."},{"key":"24_CR9","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.neunet.2013.12.008","volume":"52","author":"M Yang","year":"2014","unstructured":"Yang, M., Li, R., Chu, T.: Construction of a Boolean model of gene and protein regulatory network with memory. Neural Netw. 52, 18\u201324 (2014)","journal-title":"Neural Netw."},{"key":"24_CR10","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.jbi.2014.08.010","volume":"53","author":"ES Adabor","year":"2015","unstructured":"Adabor, E.S., Acquaah-Mensah, G.K., Oduro, F.T.: SAGA: a hybrid search algorithm for Bayesian network structure learning of transcriptional regulatory networks. J. Biomed. Inform. 53, 27\u201335 (2015)","journal-title":"J. Biomed. Inform."},{"issue":"2","key":"24_CR11","doi-asserted-by":"crossref","first-page":"025104","DOI":"10.1063\/1.4807733","volume":"23","author":"M Sun","year":"2013","unstructured":"Sun, M., Cheng, X., Socolar, J.E.: Causal structure of oscillations in gene regulatory networks: Boolean analysis of ordinary differential equation attractors. Chaos 23(2), 025104 (2013)","journal-title":"Chaos"},{"issue":"8","key":"24_CR12","doi-asserted-by":"crossref","first-page":"e97","DOI":"10.1093\/nar\/gkt147","volume":"41","author":"J Wang","year":"2013","unstructured":"Wang, J., Chen, B., Wang, Y., Wang, N., Garbey, M., Tran-Son-Tay, R., Berceli, S.A., Wu, R.: Reconstructing regulatory networks from the dynamic plasticity of gene expression by mutual information. Nucleic Acids Res. 41(8), e97 (2013)","journal-title":"Nucleic Acids Res."},{"issue":"2","key":"24_CR13","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1093\/bib\/bbt034","volume":"15","author":"SR Maetschke","year":"2014","unstructured":"Maetschke, S.R., Madhamshettiwar, P.B., Davis, M.J., Ragan, M.A.: Supervised, semi-supervised and unsupervised inference of gene regulatory networks. Brief. Bioinform. 15(2), 195\u2013211 (2014)","journal-title":"Brief. Bioinform."},{"key":"24_CR14","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1186\/1471-2105-11-228","volume":"11","author":"L Cerulo","year":"2010","unstructured":"Cerulo, L., Elkan, C., Ceccarelli, M.: Learning gene regulatory networks from only positive and unlabeled data. BMC Bioinform. 11, 228 (2010)","journal-title":"BMC Bioinform."},{"key":"24_CR15","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1186\/s12859-014-0395-x","volume":"15","author":"Z Gillani","year":"2014","unstructured":"Gillani, Z., Akash, M.S., Rahaman, M.D., Chen, M.: CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks. BMC Bioinformatics 15, 395 (2014)","journal-title":"BMC Bioinformatics"},{"key":"24_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1007\/978-3-319-51469-7_39","volume-title":"Machine Learning, Optimization, and Big Data","author":"S Liu","year":"2016","unstructured":"Liu, S., Yang, B., Wang, H.: Inference of gene regulatory network based on radial basis function neural network. In: Pardalos, Panos M., Conca, P., Giuffrida, G., Nicosia, G. (eds.) MOD 2016. LNCS, vol. 10122, pp. 442\u2013450. Springer, Cham (2016). doi:\n10.1007\/978-3-319-51469-7_39"},{"issue":"3\/4","key":"24_CR17","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/j.ins.2004.10.005","volume":"174","author":"YH Chen","year":"2005","unstructured":"Chen, Y.H., Yang, B., Dong, J., Abraham, A.: Time-series forecasting using flexible neural tree model. Inf. Sci. 174(3\/4), 219\u2013235 (2005)","journal-title":"Inf. Sci."},{"key":"24_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/978-3-642-04944-6_14","volume-title":"Stochastic Algorithms: Foundations and Applications","author":"X-S Yang","year":"2009","unstructured":"Yang, X.-S.: Firefly algorithms for multimodal optimization. In: Watanabe, O., Zeugmann, T. (eds.) SAGA 2009. LNCS, vol. 5792, pp. 169\u2013178. Springer, Heidelberg (2009). doi:\n10.1007\/978-3-642-04944-6_14"},{"issue":"22","key":"24_CR19","doi-asserted-by":"crossref","first-page":"12182","DOI":"10.1073\/pnas.220392197","volume":"97","author":"AJ Butte","year":"2000","unstructured":"Butte, A.J., Tamayo, P., Slonim, D., Golub, T.R., Kohane, I.S.: Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks. Proc. Natl. Acad. Sci. USA 97(22), 12182\u201312186 (2000)","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"24_CR20","doi-asserted-by":"crossref","first-page":"e12776","DOI":"10.1371\/journal.pone.0012776","volume":"5","author":"VA Huynh-Thu","year":"2010","unstructured":"Huynh-Thu, V.A., Irrthum, A., Wehenkel, L., Geurts, P.: Inferring regulatory networks from expression data using tree-based methods. PLoS ONE 5, e12776 (2010)","journal-title":"PLoS ONE"},{"issue":"8","key":"24_CR21","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1038\/nmeth.2016","volume":"9","author":"D Marbach","year":"2012","unstructured":"Marbach, D., Costello, J., Kuffner, R., Vega, N., Prill, R., Camacho, D., Allison, K., the DREAM5 Consortium, Kellis, M., Collins, J., Stolovitzky, G.: Wisdom of crowds for robust gene network inference. Nat. Methods 9(8), 796\u2013804 (2012)","journal-title":"Nat. Methods"}],"container-title":["Communications in Computer and Information Science","Data Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-6388-6_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,9,15]],"date-time":"2017-09-15T10:20:21Z","timestamp":1505470821000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-6388-6_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811063879","9789811063886"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-6388-6_24","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}