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SCI2S Publications (I. Zwir)

Number of Results: 65

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2013 (2)

  • [1620] D.M. Svrakic, C.F. Zorumski, N.M. Svrakic, I. Zwir, C.R. Cloninger. Risk architecture of schizophrenia: the role of epigenetics. Current Opinion in Psychiatry 26:2 (2013) 188-195. doi: 10.1097/YCO.0b013e32835d8329 PDF Icon
  • [1692] J. Arnedo, C. del Val, G.A. de Erausquin, R. Romero Zaliz, D. Svrakic, C.R. Cloninger, I. Zwir. PGMRA: a web server for (phenotype × genotype) many-to-many relation analysis in GWAS. Nucleic Acids Research 41:W1 (2013) W142-W149. doi: 10.1093/nar/gkt496


2012 (3)

  • [1621] G. E. Townsend, V. Raghavan , I. Zwir, E. A. Groisman. Intramolecular arrangement of sensor and regulator overcomes relaxed specificity in hybrid two-component systems. Proceedings of the National Academy of Sciences of the United States of America 110:2 (2012) E161–E169. doi: 10.1073/pnas.1212102110 PDF Icon
  • [1622] I. Zwir, T. Latifi, J. C. Perez , H. Huang , E. A. Groisman. The promoter architectural landscape of the Salmonella PhoP regulon. Molecular Microbiology 84:3 (2012) 463-485. doi: 10.1111/j.1365-2958.2012.08036.x PDF Icon
  • [1623] W. S. Yeo, I. Zwir, H. V. Huang , D. Shin, A. Kato, E. A. Groisman. Intrinsic negative feedback governs activation surge in two-component regulatory systems. Molecular Cell 45:3 (2012) 409-421. doi: 10.1016/j.molcel.2011.12.027 PDF Icon


2011 (2)

  • [1475] R. Romero Zaliz, J. Arnedo-Fdz, I. Zwir, C. del Val. Finding promoter profiles with multiobjective identification of cis-regulatory modules based on constrains. 11th international conference on intelligent systems design and applications (ISDA 2011), Córdoba (Spain), pp. 1218- 1223, 22–24 November 2011. PDF Icon
  • [1477] O. Harari, C. del Val, I. Zwir. Integrating network motifs into a genetc network:a case of study based on the PhoP/phoQ two component system. 11th international conference on intelligent systems design and applications (ISDA 2011), Córdoba (Spain), pp. 1371-1376, 22–24 November 2011. PDF Icon


2010 (6)

  • [1172] R. Romero Zaliz, C. Rubio-Escudero, I. Zwir, C. del Val. Optimization of Multi-classifiers for Computational Biology: Application to gene finding and gene expression. Theoretical Chemical Accounts, 125(3-6), 599-611. doi: 10.1007/s00214-009-0648-3 PDF Icon
  • [1331] R. Romero Zaliz,M. Martínez-Ballesteros, I. Zwir, C. del Val. Multiobjective identification of cis regulatory modules based on constraints. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 471-475, 3-5 February 2010. PDF Icon
  • [1332] R. Romero Zaliz, C. del Val, I. Zwir. Optimization of multi classifiers using a fuzzy logic approach: an application to the gene prediction problem. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 477-481, 3-5 February 2010. PDF Icon
  • [1333] R. Romero Zaliz, I. Zwir, C. del Val. Mejora de la predicción de genes utilizando un algoritmo de programación genética. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), pp. 413-420, Valencia (España), 7-10 Septiembre 2010.
  • [1335] R. Romero Zaliz, C. Rubio-Escudero, I. Zwir, C. del Val. Optimization of Multi-classifiers for Computational Biology: Application to gene finding and gene expression. Xth Spanish Symposium on Bioinformatics (JBI2010), October 27-29, pp. 44-45, Torremolinos-Málaga, Spain.
  • [1367] O. Harari, H. Huang, S. Park, E. A. Groisman, I. Zwir. Defining the Plasticity of Transcription Factor Binding Sites by Deconstructing DNA Consensus Sequences: The PhoP-Binding Sites among Gamma/Enterobacteria. PloS Computational Biology 6 (7) (2010) e1000862. doi: 10.1371/journal.pcbi.1000862 PDF Icon


2009 (6)

  • [0954] O. Harari, I. Zwir. A hybrid promoter analysis methodology for prokaryotic genomes. Fuzzy Systems in Bioinformatics, Bioengineering and Computational Biology. Springer’s Series on Studies in Computational Intelligence, 45-65, 2009.
  • [1026] R. Romero Zaliz, C. del Val, I. Zwir. ONTO-CC: Un servidor web para la anotacion automatica de genes utilizando gene ontology. pp. 539-546, In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), Malaga (Spain). PDF Icon
  • [1166] C. Previti, O. Harari, I. Zwir, C. del Val. Profile analysis and prediction of tissue-specific CPG island methylation classes. BMC Bioinformatics 10:116 (2009). doi: 10.1186/1471-2105-10-116 PDF Icon
  • [1169] O. Harari, C. del Val, R. Romero Zaliz, D. Shin, H. Huang, E. A. Groisman, I. Zwir. Identifying promoter features of co-regulated genes with similar network motifs. BMC Bioinformatics 10:4-S1. doi: 10.1186/1471-2105-10-S4-S1 PDF Icon
  • [1198] R. Romero Zaliz, C. del Val, I. Zwir. Optimization of Multi-classifiers for Computational Biology: Application to the Gene Finding Problem. pp. 1233-1238, ISDA 2009, November 30 - December 2, 2009, Pisa.
  • [1215] J.C. Perez, D. Shin, I. Zwir, T. Latifi, T.J. Hadley, E.A. Groisman. Evolution of a bacterial regulon controlling virulence and Mg(2+) homeostasis. PLoS Genetics 5:3-e1000428 (2009). doi: 10.1371/journal.pgen.1000428 PDF Icon


2008 (5)

  • [0768] R. Romero Zaliz, C. Rubio-Escudero, O. Cordón, J.P. Cobb, F. Herrera, I. Zwir. A multi-objective evolutionary conceptual clustering methodology for gene annotation within structural databases: A case of study on the Gene Ontology database. IEEE Transactions on Evolutionary Computation, 12:6 (2008) 679-701. doi: 10.1109/TEVC.2008.915995 PDF Icon
  • [0852] R. Romero Zaliz, C. del Val, J.P. Cobb, I. Zwir. Onto-CC: a web server for identifying Gene Ontology conceptual clusters. Nucleid Acids Research, 36(Web Server issue):W352-W357. doi: 10.1093/nar/gkn323 PDF Icon
  • [0913] C. Rubio-Escudero, Francisco Martínez-Álvarez, R. Romero Zaliz, I. Zwir. Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms. pp. 831-836, In Proceedings Eighth International Conference on Hybrid Intelligent Systems (HIS 2008), September 10-12, Barcelona(Spain). PDF Icon
  • [0953] O. Harari, C. Rubio-Escudero, Patricio Traverso, Marcelo Santos, I. Zwir. Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE). Nature Inspired Cooperative Strategies for Optimization (NICSO 2007).
  • [1168] O. Harari, C. del Val, D. Shin, H. Huang, and E. A. Groisman, I. Zwir. Extracting promoter features from genomic datasets:towards an annotation of genome regulatory regions. BIBM08 IEEE international Conference on Bioinformatics and Biomedicine.


2007 (5)

  • [0736] C. Rubio-Escudero, O. Harari, O. Cordón, I. Zwir. Modeling genetic networks: comparison of static and dynamic models. Proceedings of the 5th European Conference on Evolutionary Computation (EvoBIO 2007), Valencia (Spain), 78-89, April 2007. PDF Icon
  • [0680] I. Zwir, O. Harari, E.A. Groisman. Gene promoter scan methodology for identifying and classifying coregulated promoters. Methods in Enzymology, 422 (2007) 361-85. doi: 10.1016/S0076-6879(06)22018-4 PDF Icon
  • [0733] R. Romero Zaliz, O. Harari, C. Rubio-Escudero, I. Zwir. Identifying the promoter features governing differential kinetics of co-regulated genes using fuzzy expressions. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1167-1173, 23-26 July 2007. PDF Icon
  • [0737] O. Harari, C. Rubio-Escudero, I. Zwir. Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization. Proceedings of the 5th European Conference on Evolutionary Computation (EvoBIO 2007), Valencia (Spain), 68-77, April 2007.
  • [0955] O. Harari, I. Zwir. DISSECTING NETWORK MOTIFS BY IDENTIFYING PROMOTER FEATURES THAT GOVERN DIFFERENTIAL GENE EXPRESSION. Proceedings of Summer Computer Simulation Conference 2007 (SCSC’07). pp 817-826. San Diego, California, USA..


2006 (5)

  • [0541] R. Romero Zaliz, C. Rubio-Escudero, O. Cordón, O. Harari, C. del Val, I. Zwir. Mining Structural Databases: An Evolutionary Multi-Objective Conceptual Clustering Methodology. Proceedings of the Fourth European Workshop on Evolutionary Computation and Machine Learning in Bioinformatics (EvoBIO2006), Budapest (Hungary), Lecture Notes in Computer Science 3907, 159-171, April 2006. PDF Icon
  • [0542] C. Rubio-Escudero, R. Romero Zaliz, O. Cordón, O. Harari, C. del Val, I. Zwir. Optimal Selection of Microarray Analysis Methods using a Conceptual Clustering Algorithm. Proceedings of the Fourth European Workshop on Evolutionary Computation and Machine Learning in Bioinformatics (EvoBIO2006), Budapest (Hungary), Lecture Notes in Computer Science 3907, 172-183, April 2006. PDF Icon
  • [0622] C. Rubio-Escudero, C. del Val, O. Cordón, I. Zwir. Decision Making Association Rules for Recognition of Differential Gene Expression Profiles. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1137-1149, September 2006. PDF Icon
  • [0623] O. Harari, R. Romero Zaliz, C. Rubio-Escudero, I. Zwir. Fusion of domain knowledge for dynamic learning in transcriptional networks. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1067-1078, September 2006. PDF Icon
  • [0625] O. Harari, C. del Val, I. Zwir. Fusing genetic knowledge by dynamic learning regulatory profiles: visualizing the strategy. Proceedings of the I International Conference on Multidisciplinary Information Sciences & Technologies (INSCIT 2006), Mérida (Spain), Volumen II, 47-51, October 2006. PDF Icon


2005 (4)

  • [0359] V. Cotik, R. Romero Zaliz, I. Zwir. A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes. Fuzzy Sets & Systems 152 (2005) 83-102. doi: 10.1016/j.fss.2004.10.016 PDF Icon
  • [0457] I. Zwir, D. Shin, A. Kato, K. Nishino, T. Latifi, F. Solomon, J. M. Hare, H. Huang, E. A. Groisman. Dissecting the PhoP regulatory network of Escherichia coli and Salmonella enterica. PNAS, Biological Sciences: Genetics 102:8 (2005) 2862-2867. PDF Icon
  • [0487] I. Zwir, H. Huang, E.A. Groisman. Analysis of differentially-regulated genes within a regulatory network by GPS genome navigation. Bioinformatics 21 (2005) 4073-4083. doi: 10.1093/bioinformatics/bti672 PDF Icon
  • [0534] R. Romero Zaliz, O. Cordón, I. Zwir, C. Rubio-Escudero. A Multiobjective Evolutionary Fuzzy System for Promoter Discovery in E. coli. Proc. First International Workshop on Genetic Fuzzy Systems, Granada (Spain), 68-75, 2005. PDF Icon


2004 (3)

  • [0369] C. Rubio-Escudero, O. Cordón, I. Zwir. Identifying meaningful temporal gene expression patterns in the inflammation and the host response to injury. Affymetrix User Group Meeting, Edinburgh (UK) 2004.
  • [0368] R. Romero Zaliz, I. Zwir, F. Herrera. Búsqueda Dispersa Multiobjetivo de Promotores en secuencias de ADN. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 141-147, 2004. PDF Icon
  • [0358] R. Romero Zaliz, I. Zwir, E. Ruspini. Generalized Analysis of Promoters: A Method for DNA Sequence Description. Coello Coello y B. Lamont (Eds.), Applications of Multi-Objective Evolutionary Algorithms, World Scientific, 2004, 427-450 [ISBN: 981-256-106-4]. PDF Icon


2003 (5)

  • [0011] R. Alcalá, J.R. Cano, O. Cordón, F. Herrera, P. Villar, I. Zwir. Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules. International Journal of Approximate Reasoning 32:2-3 (2003) 187-215. doi: 10.1016/S0888-613X(02)00083-X PDF Icon
  • [0015] O. Cordón, F. Herrera, I. Zwir. A Hierarchical Knowledge-Based Environment for Linguistic Modeling: Models and Iterative Methodology. Fuzzy Sets and Systems 138:2 (2003) 307-341. PDF Icon
  • [0354] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.): Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing Vol. 129, Springer Verlag, Germany, 2003, 277-301. ISBN 3-540-02933-8.
  • [0356] I. Zwir, P. Traverso, E. A. Groisman. Semantic-oriented analysis of regulation: the PhoP regulon as a model network. Proceedings of the 3rd International Conference on Systems Biology (ICSB), St. Louis (USA), 282-283, 2003.
  • [0357] D. D&#;Onia, L. Tam, J. Perren Cobb, I. Zwir. A hierarchical reverse-forward methodology for learning complex genetic networks. Proceedings of the 3rd International Conference on Systems Biology (ICSB), St. Louis (USA), 284-285, 2003.


2002 (7)

  • [0025] O. Cordón, F. Herrera, I. Zwir. Linguistic Modeling by Hierarchical Systems of Linguistic Rules. IEEE Transactions on Fuzzy Systems 10:1 (2002) 2-20. doi: 10.1109/91.983275 PDF Icon
  • [0028] I. Zwir, R. Romero Zaliz, E. Ruspini. Automated Biological Sequence Description by Genetic Multiobjective Generalized Clustering. Annals of the New York Academy of Sciences 980 (2002) 65-82. PDF Icon
  • [0210] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Hybridizing hierarchical and weighted linguistic rules. Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002), Madrid (Spain), 812-816, March 11-14, 2002.
  • [0413] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS 2002), Vol. 1, Ciudad Real (Spain), 325-333, April 3-6, 2002.
  • [0458] E. H. Ruspini, I. Zwir. Automated Generation of Qualitative Representations of Complex Object by Hybrid Soft-computing Methods. In: S. K. Pal and A. Pal (Eds): Pattern Recognition. From Classical to Modern Approaches. World Scientific Company (2002) 454-474.
  • [0459] R. Romero Zaliz, I. Zwir. Analysis of Multiobjective Genetic Algorithm features in Biological Sequence Recognition. In Proceedings of the 1º Congreso Español de Algoritmos Evolutivos y Bioinspirados (AEB), 2002.
  • [0460] R. Romero Zaliz, I. Zwir. Automated Biological Sequence Description and Recognition by a Localized Multiobjective Genetic Algorithm. In Proceedings of the Fourth International Workshop on Frontiers in Evolutionary Algorithms (FEA), 2002.


2001 (4)

  • [0039] O. Cordón, F. Herrera, I. Zwir. Fuzzy Modeling by Hierarchically Built Fuzzy Rule Bases. International Journal of Approximate Reasoning 27 (2001) 61-93. PDF Icon
  • [0423] O. Cordón, F. Herrera, I. Zwir. Analyzing and Extending Hierarchical Systems of Linguistic Rules. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1121-1126, July 2001.
  • [0461] R. Romero Zaliz, I. Zwir, I. Loiseau. Using Multiobjective Genetic Algorithms for Biological Sequence Pattern Recognition. In Proceeding of the Argentinean Symposium of Artificial Intelligence (ASAI), Jornadas Argentinas de Informatica e Investigación Operativa (JAIIO), 2001.
  • [0462] R. Romero Zaliz, I. Zwir, I. Loiseau. Automated Biological Sequence description and Recognition: Studies of Quality and Extension Features. In 2001 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'2001), Las Vegas, USA, 2001.


2000 (4)

  • [0142] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Techniques for Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling and Their Application. In: KNOWLEDGE-BASED SYSTEMS. Techniques and Applications Vol III. C.T. Leondes (Ed.), Academic Press, EE.UU., 2000, 889-941. ISBN 0-12-443878-4.
  • [0143] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar, I. Zwir. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling. In: Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, E. Kerre, D. Ruan (Eds.), Kluwer Academic Pub., 2000, 189-221. PDF Icon
  • [0236] O. Cordón, F. Herrera, I. Zwir. Hierarchical Knowledge Bases for Fuzzy Rule-Based Systems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1770-1777, 2000. PDF Icon
  • [0463] M. T. Casparri, L. L. Lazzari, I. Zwir. A Machine Learning Approach to Reinsurance Company Evaluation in the Argentinean Market. In Proceedings of the VII Congress of SIGEF, 2000.


1999 (2)

  • [0464] E. H. Ruspini, I. Zwir. Automated Qualitative Description of Measurements. In Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conf., 1999.
  • [0465] I. Zwir, E. H. Ruspini. Qualitative Object Description: Initial Reports of the Exploration of the Frontier. In Proceedings of the EUROFUSE-SIC'99, 1999.


1996 (1)

  • [0466] I. Zwir. Fuzzy Control and Learning for nonlinear systems. In Proceedings of the III Congreso de la Sociedad Internacional de Gestión y Economía Fuzzy, 1996.


1995 (1)

  • [0467] I. Zwir. An application of Fuzzy Control with reinforcement learning to the inverted pendulum problem. In Proceedings of the 24º Jornadas Argentinas de Informática e Investigación Operativa (JAIIO), 1995.