Education
Isabel A. Nepomuceno-Chamorro
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In Press (0) - Submitted (0) Updated January 8, 2010
2011 (2)
21.- Inferring gene-gene associations from Quantitative Association Rules. Martinez-Ballesteros, M.; Nepomuceno-Chamorro, I.; Riquelme, J. C.; 11th International Conference on Intelligent Systems Design and Applications. pp. 1241-1246 (ISDA 2011)
20.- Prognostic transcriptional association networks: A new supervised approach based on regression trees. Isabel Nepomuceno, Francisco Azuaje, Yvan Devaux, Petr V. Nazarov, Arnaud Muller, Jesús S. Aguilar-Ruiz and Daniel R. Wagner Bioinformatics 2011, 27(2), pp. 252-8
2010 (4)
19.- Inferring gene regression networks with model trees Isabel A Nepomuceno-Chamorro, Jesus S Aguilar-Ruiz and Jose C Riquelme BMC Bioinformatics 2010, 11:517
18.- Prediction of clinical outcome after cardiac arrest and induced therapeutic hypothermia Nepomuceno I, Azuaje F, Devaux Y, Stammet P, Aguilar-Ruiz JS, Wagner DR in Proc. of ECCB10, the 9th European Conference on Computational Biology, Ghent, Belgium, 26-29 September 2010, p. 79 [Peer-reviewed abstracts in conferences]
17.- Clinical prognosis with transcriptional association networks and regression trees Nepomuceno I, Azuaje F, Devaux Y, Nazarov PV, Muller A, Aguilar-Ruiz JS, Wagner DR in Proc. of ECCB10, the 9th European Conference on Computational Biology, Ghent, Belgium, 26-29 September 2010, p. 79 [Peer-reviewed abstracts in conferences]
16.- Biomarker mining of Cardiovascular Disease Registry through a computing-intensive, Systems-driven approach Isabel Nepomuceno, Francisco Azuaje, Yvan Devaux, Petr Nazarov, Arnaud Muller, Jesus Aguilar-Ruiz, Daniel Wagner BBMRI, Amsterdam, Netherlands, 23-25 September 2010, [Poster]
2009 (2)
15.- Supervised prediction of heart failure through transciptional association networks I. Nepomuceno, F. Azuaje, P.V. Nazarov, A. Muller, Y. Devaux, L. Vallar, J.S. Aguilar, D.R. Wagner in Proc. of BBC09, the fifth Benelux Bioinformatics Conference, Liège, Belgium, 14-15 December 2009, p. 23. [Peer-reviewed abstracts in conferences]
14.- CARGENE: Characterisation of Set of Genes based on Metabolic Pathway Analysis Jesus Aguilar-Ruiz, Domingo Rodriguez-Baena, Norberto Diaz-Diaz, Isabel Nepomuceno International Journal of Data Mining and Bioinformatics (IJDMB)
2008 (1)
13.- DMRT to Infer gene-gene interactions from Microarray Data I. Nepomuceno, J.S. Aguilar European Science Foundation Conference in Biomedicine. System Biology. Poster.
2007 (3)
12.- Discovering alpha-Patterns from Gene Expression Data Domingo S. Rodriguez, Norberto Díaz, Jesús Aguilar-Ruiz, Isabel Nepomuceno Lecture Notes in Computer Science 4881, pp 831-839 (IDEAL)
11.- A Deterministic Model to Infer Gene Networks from Microarray Data Isabel Nepomuceno, Jesús Aguilar-Ruiz, Norberto Díaz, Domingo S. Rodriguez, J. García Lecture Notes in Computer Science 4881, pp 850-859 (IDEAL)
10.- Gene Networks from Data Mining for Microarray Data Isabel Nepomuceno, Jesús Aguilar-Ruiz, Norberto Díaz -Díaz I Jornadas sobre Extracción y Validación de Conocimiento en Bases de Datos EvaBio 07
2006 (4)
10.- RESOP: Un método para la reducción de Bases de Datos Isabel Nepomuceno, Juan A. Nepomuceno, Roberto Ruiz Jornadas de Ingeniería del Software y Bases de Datos, pp 262-270
9.- Databases Reduction Simultaneously by Ordered Projection Isabel Nepomuceno, Juan A. Nepomuceno, Roberto Ruiz and Jesús S. Aguilar-Ruiz Lecture Notes in Artificial Intelligence 4265, pp 337-341 (DS)
8.- Neighborhood-Based Clustering of Gene-Gene Interactions Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena,Isabel Nepomuceno, Jesús S. Aguilar-Ruiz Lecture Notes in Computer Science 4224, pp 1111-1120 (IDEAL)
7.- A measure for data set editing by ordered projections Jesús S. Aguilar-Ruiz, Juan A. Nepomuceno, Norberto Díaz-Díaz, Isabel Nepomuceno Springer Verlag, Applications on Data Mining (IEA/AIE)
2005 (4)
6.- Compresión Fractal. Miguel A. Marbán, Martin Moschitz, Isabel Nepomuceno, Morirtz Weidler Revista Digital Imagen-A (11-11-2005) ISSN: 1885-4508
5.- An approach to reduce the cost of evaluation in evolutionary learning. Raul Giraldez, Norberto Diaz, Isabel Nepomuceno, Jesús S. Aguilar-Ruiz Lecture Notes in Computer Science 3512, pp. 804-811(IWANN)
4.- Selección de Genes sobre Microarray mediante Algoritmos Evolutivos Daniel Mateos, Isabel Nepomuceno, José C. Riquelme, Jesús Aguilar IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados
3.- A Tool for Using the SBML Format to Represent P Systems which Model Biological Isabel A. Nepomuceno-Chamorro, J.A. Nepomuceno-Chamorro, Francisco J. Romero-Campero Third Brainstorming week on Membrane Computing, pp. 309-315
2004 (2)
2.- A Java Simulator for Membrane Computing Isabel A. Nepomuceno-Chamorro Journal of Universal Computer Science 10, pp. 620-629
1.- A Java Simulator for Basic Transition P Systems Isabel A. Nepomuceno-Chamorro Second Brainstorming week on Membrane Computing, pp. 309-315