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Author Title [ Type(Asc)] Year
Book Chapter
Gabaldón T, Huynen MA. Reconstruction of ancestral proteomes. In: Ancestral Sequence Reconstruction. Ancestral Sequence Reconstruction. Oxford: D. Liberles; 2007. Available at: http://www.us.oup.com/us/catalog/general/subject/LifeSciences/EvolutionaryBiology/?view=usa&ci=9780199299188.
Minguez P, Dopazo J. Protein Interactions for Functional Genomics. In: Li X-L, Ng S-K, eds. Biological Data Mining in Protein Interaction Networks. Biological Data Mining in Protein Interaction Networks. Hershey, USA: Idea Group Inc (IGI); 2009:223-238. Available at: http://books.google.es/books?id=pNyCy5GsqtkC.
Al-Shahrour F, Dopazo J. Ontologies and functional genomics. In: Data analysis and visualisation in genomics and proteomics. Data analysis and visualisation in genomics and proteomics. Wiley, F. Azuaje and J. Dopazo; 2005:99-102.
Montaner D, Al-Shahrour F, Dopazo J. New Trends in the Analysis of Functional Genomic Data. In: Progress in Industrial Mathematics at ECMI 2006.Vol 12. Progress in Industrial Mathematics at ECMI 2006. Berlin: Springer; 2007:576-580. doi:10.1007/978-3-540-71992-2_94.
Conesa A, Forment J, Gadea J, van Dijk J. Microarray Technology in Agricultural Research. In: Microarray Technology Through Applications. Microarray Technology Through Applications. F. Falciani. Publisher: Taylor and Francis Group; 2007:173-209.
Dopazo J. Microarray Data Processing And Analysis. In: Microarray data analysis II. Microarray data analysis II. Kluwer Academic; 2002:43-63.
Dopazo H. La clasificación de los organismos. In: Invitación a la Biología. Invitación a la Biología. Buenos Aires: Curtis, Barnes, Schnek & Flores. 2da, Editorial Medica Panamericana; 2006.
Azuaje F, Dopazo J. Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges. In: Data analysis and visualisation in genomics and proteomics. Data analysis and visualisation in genomics and proteomics. Wiley, F. Azuaje and J. Dopazo; 2005:3-9.
Serra F, Arbiza L, Dopazo H. Genómica Comparativa y Selección Natural. Aplicaciones en el Genoma Humano. Capítulo 1.6. In: Dopazo H, Navarro A, eds. Evolución y Adaptacón. 150 años después del Origen de las Especies. Evolución y Adaptacón. 150 años después del Origen de las Especies. Valencia: Obrapropia.; 2009:51-59.
Wang H, Azuaje F, Bodenreider O, Dopazo J. Gene expression Correlation and Gene Ontology-Based Similarity: An Assessment of Quantitative Relationship. In: IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.; 2004:25-31.
Dopazo J. Functional profiling methods in cancer. In: Grützmann R, Pilarsky C, eds. Methods in molecular biology (Clifton, N.J.).Vol 576. Methods in molecular biology (Clifton, N.J.).; 2010:363-74.
Dopazo J, Al-Shahrour F. Functional annotation of microarray experiments. In: Microarray Technology Through Applications. Microarray Technology Through Applications. New York, USA: Taylor & Francis, F. Falciani; 2007.
Robledo M, González-Neira A, Dopazo J. f single nucleotide polymorphism arrays: Design, tools and applications. In: Microarray Technology Through Applications. Microarray Technology Through Applications. New York, USA: Taylor & Francis, F. Falciani; 2007.
Garcia-Garcia F, Montaner D. Docencia en Estadística: Experiencias de Innovación. In: III Jornadas de Intercambio de Experiencias de Innovación Educativa en Estadística.Vol 1. III Jornadas de Intercambio de Experiencias de Innovación Educativa en Estadística.; 2013:201-210.
Azuaje F, Dopazo J, Wang H. Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions. In: Data analysis and visualisation in genomics and proteomics. Data analysis and visualisation in genomics and proteomics. Wiley, F. Azuaje and J. Dopazo; 2005.
Azuaje F, Dopazo J. Data analysis and visualisation in genomics and proteomics. In: Wiley, F. Azuaje and J. Dopazo; 2005.
Gabaldón T, Gil R, Peretó J, Latorre A, Moya A. The core of a minimal gene set: insights from natural reduced genomes. In: Protocells: Bridging nonliving and living matter. Protocells: Bridging nonliving and living matter. USA: The MIT Press; 2008:347-366.
Gabaldón T. Comparative genomics-based prediction of protein function. In: Methods in Molecular Biology.Vol 439. Methods in Molecular Biology. M. Starkey and R. Elaswarapu, Humana press; 2008. Available at: http://www.springerprotocols.com/Abstract/doi/10.1007/978-1-59745-188-8_26.
Dopazo J. Clustering - Class discovery in the post-genomic era. In: Fundamentals of data mining in genomics and proteomics. Fundamentals of data mining in genomics and proteomics. New York, USA: Springer-Verlag, W. Dubitzky, M. Granzow and D.P. Berrar; 2007.
Capriotti E, Marti-Renom MA. Assessment of protein structure predictions. In: Computational Structural Biology. Computational Structural Biology. New Jersey, USA: World Scientific Publishing Company; 2008. Available at: http://www.amazon.com/dp/9812778772/.
Book
Mateos A, Herrero J, Tamames J, Dopazo J. Methods of Microarray Data Analysis IISupervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clustering Gene Expression Profiles. (Lin SM, Johnson KF, eds.). Boston: Kluwer Academic Publishers; 2002:91 - 103. doi:10.1007/b11298210.1007/0-306-47598-7_7.
Dopazo H, Navarro A, eds. Evolución y Adaptación.150 años después del Origen de las Especies. Valencia. España: Obrapropia.; 2009:510.
Gundogdu P, Payá-Milans M, Alamo-Alvarez I, Nepomuceno-Chamorro IA, Dopazo J, Loucera C. Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder. Cham: Springer Nature Switzerland; 2023:62 - 77. doi:10.1007/978-3-031-42697-110.1007/978-3-031-42697-1_5.