{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T23:28:57Z","timestamp":1725751737518},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319026237"},{"type":"electronic","value":"9783319026244"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-319-02624-4_14","type":"book-chapter","created":{"date-parts":[[2013,10,12]],"date-time":"2013-10-12T06:21:00Z","timestamp":1381558860000},"page":"148-159","source":"Crossref","is-referenced-by-count":0,"title":["Inference of Genetic Regulatory Networks Using an Estimation of Distribution Algorithm"],"prefix":"10.1007","author":[{"given":"Thyago","family":"Salv\u00e1","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leonardo R.","family":"Emmendorfer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adriano V.","family":"Werhli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"1","key":"14_CR1","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1089\/10665270252833208","volume":"9","author":"H. Jong De","year":"2002","unstructured":"De Jong, H.: Modeling and simulation of genetic regulatory systems: A literature review. Journal of Computational Biology\u00a09(1), 67\u2013103 (2002)","journal-title":"Journal of Computational Biology"},{"issue":"8","key":"14_CR2","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1093\/bioinformatics\/16.8.707","volume":"16","author":"P. D\u2019haeseleer","year":"2000","unstructured":"D\u2019haeseleer, P., Liang, S., Somogyi, R.: Genetic network inference: from co-expression clustering to reverse engineering. Bioinformatics\u00a016(8), 707\u2013726 (2000)","journal-title":"Bioinformatics"},{"key":"14_CR3","unstructured":"Chen, T., He, H.L., Church, G.M.: Modeling gene expression with differential equations. In: Pacific Symposium on Biocomputing, vol.\u00a04, pp. 29\u201340 (1999)"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1038\/msb.2012.6","volume":"8","author":"A. Pokhilko","year":"2012","unstructured":"Pokhilko, A., Fern\u00e1ndez, A.P., Edwards, K.D., Southern, M.M., Halliday, K.J., Millar, A.J.: The clock gene circuit in Arabidopsis includes a repressilator with additional feedback loops. Molecular Systems Biology\u00a08, 574 (2012)","journal-title":"Molecular Systems Biology"},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"14863","DOI":"10.1073\/pnas.95.25.14863","volume":"95","author":"M.B. Eisen","year":"1998","unstructured":"Eisen, M.B., Spellman, P.T., Brown, P.O., Botstein, D.: Cluster analysis and display of genome-wide expression patterns. Proceedings of the National Academy of Sciences of the United States of America\u00a095, 14863\u201314868 (1998)","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"14_CR6","unstructured":"Heckerman, D.: Learning Gaussian networks. Technical Report MSR-TR-94-10, Microsoft Research, Redmond, Washington (July 1994)"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Heckerman, D.: A tutorial on learning with Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, Redmond, Washington (1995)","DOI":"10.1016\/B978-1-55860-377-6.50079-7"},{"key":"14_CR8","unstructured":"Chen, Y.P., Yu, T.L., Sastry, K., Goldberg, D.E.: A survey of linkage learning techniques in genetic and evolutionary algorithms. Technical Report IlliGAL Report No. 2007014, University of Illinois at Urbana-Champaign (2007)"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Larra\u00f1aga, P., Lozano, J.A.: Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation. Kluwer (2002)","DOI":"10.1007\/978-1-4615-1539-5"},{"issue":"6","key":"14_CR10","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1109\/TEVC.2009.2025455","volume":"13","author":"L.R. Emmendorfer","year":"2009","unstructured":"Emmendorfer, L.R., Pozo, A.: Effective linkage learning using low-order statistics and clustering. IEEE Transactions on Evolutionary Computation\u00a013(6), 1233\u20131246 (2009)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.ins.2012.12.051","volume":"233","author":"P. Larra\u00f1aga","year":"2013","unstructured":"Larra\u00f1aga, P., Karshenas, H., Bielza, C., Santana, R.: A review on evolutionary algorithms in Bayesian network learning and inference tasks. Inf. Sci.\u00a0233, 109\u2013125 (2013)","journal-title":"Inf. Sci."},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Baluja, S., Caruana, R.: Removing the genetics from the standard genetic algorithm. In: International Conference on Machine Learning, pp. 38\u201346 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50014-1"},{"key":"14_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1007\/3-540-61723-X_982","volume-title":"Parallel Problem Solving from Nature - PPSN IV","author":"H. M\u00fchlenbein","year":"1996","unstructured":"M\u00fchlenbein, H., PaaB, G.: From Recombination of Genes to the Estimation of Distributions I. Binary Parameters. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN 1996. LNCS, vol.\u00a01141, pp. 178\u2013187. Springer, Heidelberg (1996)"},{"key":"14_CR14","first-page":"424","volume-title":"Advances in Neural Information Processing Systems","author":"J.S.D. Bonet","year":"1997","unstructured":"Bonet, J.S.D., Isbell, C.L., Viola, P.: Mimic: Finding optima by estimating probability densities. In: Jordan, M., Mozer, M., Perrone, M. (eds.) Advances in Neural Information Processing Systems, vol.\u00a09, pp. 424\u2013430. MIT Press, Cambridge (1997)"},{"issue":"3","key":"14_CR15","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1162\/evco.1997.5.3.303","volume":"5","author":"H. M\u00fchlenbein","year":"1997","unstructured":"M\u00fchlenbein, H.: The equation for response to selection and its use for prediction. Evol. Comput.\u00a05(3), 303\u2013346 (1997)","journal-title":"Evol. Comput."},{"key":"14_CR16","unstructured":"Pelikan, M., Goldberg, D.E., Cantu-Paz, E.: BOA: The Bayesian optimization algorithm. In: Proceedings of the 1999 Genetic and Evolutionary Computation Conference, pp. 525\u2013532 (1999)"},{"key":"14_CR17","unstructured":"Etxeberria, R., Larra\u00f1aga, P.: Global optimization using Bayesian networks. In: Second Symposium on Artificial Intelligence (CIMAF 1999), pp. 332\u2013339 (1999)"},{"key":"14_CR18","first-page":"465","volume":"4","author":"C. Gonz\u00e1lez","year":"2000","unstructured":"Gonz\u00e1lez, C., Lozano, J.A., Larra\u00f1aga, P.: Analyzing the PBIL algorithm by means of discrete dynamical systems. Complex Systems\u00a04, 465\u2013479 (2000)","journal-title":"Complex Systems"},{"issue":"1","key":"14_CR19","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/TEVC.2003.819431","volume":"8","author":"Q. Zhang","year":"2004","unstructured":"Zhang, Q.: On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm. IEEE Transactions on Evolutionary Computation\u00a08(1), 80\u201393 (2004)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Pelikan, M., Saltry, K., Goldberg, D.E.: Sporadic model building for efficiency enhancement of hBOA. Genetic Programming and Evolvable Machines (2008)","DOI":"10.1007\/s10710-007-9052-8"},{"key":"14_CR21","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/ISDA.2007.84","volume-title":"Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, ISDA 2007","author":"L.R. Emmendorfer","year":"2007","unstructured":"Emmendorfer, L.R., Pozo, A.T.R.: An incremental approach for niching and building block detection via clustering. In: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, ISDA 2007, pp. 303\u2013308. IEEE Computer Society, Washington, DC (2007)"},{"key":"14_CR22","unstructured":"Baluja, S.: Population-based incremental learning. Technical Report CMU-CS-94-163, Computer Science Dept., Carnegie Mellon University (1994)"},{"issue":"4","key":"14_CR23","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1109\/4235.797971","volume":"3","author":"R. Georges","year":"1999","unstructured":"Georges, R., Harik, F.G.L., Goldberg, D.E.: The compact genetic algorithm. IEEE Trans. Evolutionary Computation\u00a03(4), 287\u2013297 (1999)","journal-title":"IEEE Trans. Evolutionary Computation"},{"issue":"5721","key":"14_CR24","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1126\/science.1105809","volume":"308","author":"K. Sachs","year":"2005","unstructured":"Sachs, K., Perez, O., Pe\u2019er, D., Lauffenburger, D.A., Nolan, G.P.: Causal protein-signaling networks derived from multiparameter single-cell data. Science\u00a0308(5721), 523\u2013529 (2005)","journal-title":"Science"},{"issue":"16","key":"14_CR25","doi-asserted-by":"publisher","first-page":"2263","DOI":"10.1093\/bioinformatics\/btr373","volume":"27","author":"T. Schaffter","year":"2011","unstructured":"Schaffter, T., Marbach, D., Floreano, D.: GeneNetWeaver: In silico benchmark generation and performance profiling of network inference methods. Bioinformatics\u00a027(16), 2263\u20132270 (2011)","journal-title":"Bioinformatics"},{"key":"14_CR26","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.molcel.2004.11.055","volume":"17","author":"M.K. Dougherty","year":"2005","unstructured":"Dougherty, M.K., M\u00fcller, J., Ritt, D.A., Zhou, M., Zhou, X.Z., Copeland, T.D., Conrads, T.P., Veenstra, T.D., Lu, K.P., Morrison, D.K.: Regulation of Raf-1 by direct feedback phosphorylation. Molecular Cell\u00a017, 215\u2013224 (2005)","journal-title":"Molecular Cell"},{"key":"14_CR27","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1089\/106652700750050961","volume":"7","author":"N. Friedman","year":"2000","unstructured":"Friedman, N., Linial, M., Nachman, I., Pe\u2019er, D.: Using Bayesian networks to analyze expression data. Journal of Computational Biology\u00a07, 601\u2013620 (2000)","journal-title":"Journal of Computational Biology"},{"issue":"20","key":"14_CR28","doi-asserted-by":"publisher","first-page":"2523","DOI":"10.1093\/bioinformatics\/btl391","volume":"22","author":"A.V. Werhli","year":"2006","unstructured":"Werhli, A.V., Grzegorczyk, M., Husmeier, D.: Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical Gaussian models and Bayesian networks. Bioinformatics\u00a022(20), 2523\u20132531 (2006)","journal-title":"Bioinformatics"},{"key":"14_CR29","doi-asserted-by":"publisher","first-page":"2271","DOI":"10.1093\/bioinformatics\/btg313","volume":"19","author":"D. Husmeier","year":"2003","unstructured":"Husmeier, D.: Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks. Bioinformatics\u00a019, 2271\u20132282 (2003)","journal-title":"Bioinformatics"}],"container-title":["Lecture Notes in Computer Science","Advances in Bioinformatics and Computational Biology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-02624-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T00:21:28Z","timestamp":1646785288000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-02624-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783319026237","9783319026244"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-02624-4_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}