Francisco Azuaje
According to our database1,
Francisco Azuaje
authored at least 82 papers
between 1999 and 2020.
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Bibliography
2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2017
Briefings Bioinform., 2017
2014
An information theoretic approach to assessing gene-ontology-driven similarity and its application.
Int. J. Data Min. Bioinform., 2014
2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Detection of protein complexes in protein interaction networks is improved through network-driven functional homogeneity analysis.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Bioinformatics as a driver, not a passenger, of translational biomedical research: Perspectives from the 6<sup>th </sup>Benelux bioinformatics conference.
J. Clin. Bioinform., 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease.
J. Biomed. Informatics, 2011
Predictive integration of gene functional similarity and co-expression defines treatment response of endothelial progenitor cells.
BMC Syst. Biol., 2011
Prognostic transcriptional association networks: a new supervised approach based on regression trees.
Bioinform., 2011
Briefings Bioinform., 2011
2010
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks.
Pattern Recognit. Lett., 2010
eNelator: A simulation system for large-scale vulnerability analysis of species-, disease- and process-specific protein networks.
J. Comput. Sci., 2010
Transcriptional networks characterize ventricular dysfunction after myocardial infarction: A proof-of-concept investigation.
J. Biomed. Informatics, 2010
Multi-level integrative analysis of Protein - Protein Interaction networks: connecting completeness, depth and robustness.
Int. J. Comput. Biol. Drug Des., 2010
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks.
Comput. Biol. Medicine, 2010
Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network.
BMC Syst. Biol., 2010
Identification of potential targets in biological signalling systems through network perturbation analysis.
Biosyst., 2010
Bioinform., 2010
From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions.
Adv. Artif. Intell., 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
Machine Learning Techniques for the Automated Classification of Adhesin-Like Proteins in the Human Protozoan Parasite Trypanosoma cruzi.
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction.
Source Code Biol. Medicine, 2009
Briefings Bioinform., 2009
Proceedings of the International Joint Conferences on Bioinformatics, 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
A standard-compliant global map of the bile acid/xenobiotic signaling network: Construction and automated query processing.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009
2008
IEEE Trans. Syst. Man Cybern. Part B, 2008
Improving Pattern Discovery and Visualization of SAGE Data Through Poisson-Based Self-Adaptive Neural Networks.
IEEE Trans. Inf. Technol. Biomed., 2008
Source Code Biol. Medicine, 2008
Computational prediction of protein interaction networks through supervised classification techniques.
Int. J. Funct. Informatics Pers. Medicine, 2008
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008
2007
Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Integration and analysis of heterogeneous microarray data sources for supporting drug target identification in atherosclerosis.
BMC Syst. Biol., 2007
Proceedings of the IJCAI 2007, 2007
Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors.
BMC Medical Informatics Decis. Mak., 2006
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions.
J. Integr. Bioinform., 2006
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data.
BMC Bioinform., 2006
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Applications of Evolutionary Computing, 2006
Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
A Supervised Learning Approach to Predicting Coronary Heart Disease Complications in Type 2 Diabetes Mellitus Patients.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
2005
BMC Bioinform., 2005
Bioinform., 2005
Integrative data analysis for functional prediction: a multi-objective optimization approach.
Bioinform., 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
Data and Predictive Model Integration: An Overview of Key Concepts, Problems and Solutions.
Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005
Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges.
Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005
2004
Reply to comments on 'A computational evolutionary approach to evolving game strategy and Cooperation'.
IEEE Trans. Syst. Man Cybern. Part B, 2004
An integrative and interactive framework for improving biomedical pattern discovery and visualization.
IEEE Trans. Inf. Technol. Biomed., 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004
Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization.
Proceedings of the Computational and Information Science, First International Symposium, 2004
Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study.
Proceedings of the 4th IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2004), 2004
2003
IEEE Trans. Syst. Man Cybern. Part B, 2003
BMC Medical Informatics Decis. Mak., 2003
BMC Bioinform., 2003
Briefings Bioinform., 2003
An Immune-inspired Approach to Learning and Classification.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003
2002
2001
A computational neural approach to support the discovery of gene function and classes of cancer.
IEEE Trans. Biomed. Eng., 2001
Proceedings of the IEEE International Conference on Systems, 2001
A Genetic Algorithm and Growing Cell Structure Approach to Learning Case Retrieval Structures.
Proceedings of the Soft Computing in Case Based Reasoning, 2001
2000
An unsupervised neural learning approach to retrieval strategies for case-based reasoning and decision support.
PhD thesis, 2000
IEEE Trans. Syst. Man Cybern. Part B, 2000
Knowl. Eng. Rev., 2000
Making genome expression data meaningful: Prediction and discovery of classes of cancer through a connectionist learning approach.
Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering, 2000
1999
IEEE Trans. Biomed. Eng., 1999
Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach.
Artif. Intell. Medicine, 1999
On local and global feature weight discovery for case-based reasoning.
Proceedings of the Computers and Their Applications (CATA-99), 1999