Francisco Azuaje

85 papers A* 1B 5C 10Misc 2Journal 51Unranked 11
YearRankTypeTitle / Venue / Authors
2022 J jnl
DrDimont: explainable drug response prediction from differential analysis of multi-omics networks.
Bioinform.
Pauline Hiort, Julian Hugo, Justus Zeinert, Nataniel Müller, Spoorthi Kashyap, Jagath C. Rajapakse, Francisco Azuaje, Bernhard Y. Renard, Katharina Baum
2020 — conf
A Network-Based Embedding Method for Drug-Target Interaction Prediction.
EMBC
Poorya Parvizi, Francisco Azuaje, Evropi Theodoratou, Saturnino Luz
2017 J jnl
Computational models for predicting drug responses in cancer research.
Briefings Bioinform.
Francisco Azuaje
2014 J jnl
An information theoretic approach to assessing gene-ontology-driven similarity and its application.
Int. J. Data Min. Bioinform.
Haiying Wang, Francisco Azuaje, Huiru Zheng
2013 — conf
Correlating adverse drug reactions with biological pathways in humans.
BIBM
Huiru Zheng, Haiying Wang, Hua Xu, Zhongming Zhao, Francisco Azuaje
2013 — conf
Detection of protein complexes in protein interaction networks is improved through network-driven functional homogeneity analysis.
BIBM
Haiying Wang, Huiru Zheng, Francisco Azuaje
2012 J jnl
Bioinformatics as a driver, not a passenger, of translational biomedical research: Perspectives from the 6
J. Clin. Bioinform.
Francisco Azuaje, Michaël Heymann, Anne-Marie Ternes, Anke Wienecke-Baldacchino, Daniel Struck, Danièle Moes, Reinhard Schneider
2012 — conf
Drug-target network in myocardial infarction: A structural analysis.
BIBM
Haiying Wang, Huiru Zheng, Francisco Azuaje, Xing-Ming Zhao
2012 J jnl
Gene set analysis in the cloud.
Bioinform.
Lu Zhang, Shengchang Gu, Yuan Liu, Bingqiang Wang, Francisco Azuaje
2011 J jnl
Computational discrete models of tissue growth and regeneration.
Briefings Bioinform.
Francisco Azuaje
2011 J jnl
Predictive integration of gene functional similarity and co-expression defines treatment response of endothelial progenitor cells.
BMC Syst. Biol.
Francisco Azuaje, Haiying Wang, Huiru Zheng, Frédérique Léonard, Magali Rolland-Turner, Lu Zhang, Yvan Devaux, Daniel R. Wagner
2011 J jnl
Prognostic transcriptional association networks: a new supervised approach based on regression trees.
Bioinform.
Isabel A. Nepomuceno-Chamorro, Francisco Azuaje, Yvan Devaux, Petr V. Nazarov, Arnaud Muller, Jesús S. Aguilar-Ruiz, Daniel R. Wagner
2011 J jnl
Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease.
J. Biomed. Informatics
Francisco Azuaje, Huiru Zheng, Anyela Camargo, Haiying Wang
2010 J jnl
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks.
Comput. Biol. Medicine
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2010 J jnl
Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network.
BMC Syst. Biol.
Francisco Azuaje, Yvan Devaux, Daniel R. Wagner
2010 J jnl
From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions.
Adv. Artif. Intell.
Fiona Browne, Huiru Zheng, Haiying Wang, Francisco Azuaje
2010 J jnl
Identification of potential targets in biological signalling systems through network perturbation analysis.
Biosyst.
Francisco Azuaje, Yvan Devaux, Daniel R. Wagner
2010 J jnl
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks.
Pattern Recognit. Lett.
Haiying Wang, Huiru Zheng, Fiona Browne, David H. Glass, Francisco Azuaje
2010 J jnl
Multi-level integrative analysis of Protein - Protein Interaction networks: connecting completeness, depth and robustness.
Int. J. Comput. Biol. Drug Des.
Jaine K. Blayney, Huiru Zheng, Haiying Wang, Francisco Azuaje
2010 J jnl
Ontology- and graph-based similarity assessment in biological networks.
Bioinform.
Haiying Wang, Huiru Zheng, Francisco Azuaje
2010 J jnl
Transcriptional networks characterize ventricular dysfunction after myocardial infarction: A proof-of-concept investigation.
J. Biomed. Informatics
Francisco Azuaje, Yvan Devaux, Melanie Vausort, Céline Yvorra, Daniel R. Wagner
2010 J jnl
eNelator: A simulation system for large-scale vulnerability analysis of species-, disease- and process-specific protein networks.
J. Comput. Sci.
Huiru Zheng, Haiying Wang, Francisco Azuaje
2010 — conf
seGOsa: Software environment for gene ontology-driven similarity assessment.
BIBM
Huiru Zheng, Francisco Azuaje, Haiying Wang
2009 — conf
A standard-compliant global map of the bile acid/xenobiotic signaling network: Construction and automated query processing.
BIOCOMP
Oliver Schmidt, José López, Francisco Azuaje, Paul Thompson, Martin T. Swain, Werner Dubitzky
2009 — conf
Assessing the Most Effective Depth for PPI Analysis.
IJCBS
Jaine K. Blayney, Huiru Zheng, Haiying Wang, Francisco Azuaje
2009 C conf
Assessing the impact of network depth on the analysis of PPI networks: A case study.
CIBCB
Jaine K. Blayney, Haiying Wang, Huiru Zheng, Francisco Azuaje
2009 J jnl
Computational biology for cardiovascular biomarker discovery.
Briefings Bioinform.
Francisco Azuaje, Yvan Devaux, Daniel R. Wagner
2009 J jnl
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction.
Source Code Biol. Medicine
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2009 J jnl
Machine Learning Techniques for the Automated Classification of Adhesin-Like Proteins in the Human Protozoan Parasite Trypanosoma cruzi.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ana M. González, Francisco Azuaje, Jose L. Ramirez, Jose F. da Silveira, José R. Dorronsoro
2008 J jnl
Clustering-based approaches to SAGE data mining.
BioData Min.
Haiying Wang, Huiru Zheng, Francisco Azuaje
2008 J jnl
Computational prediction of protein interaction networks through supervised classification techniques.
Int. J. Funct. Informatics Pers. Medicine
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2008 J jnl
Improving Pattern Discovery and Visualization of SAGE Data Through Poisson-Based Self-Adaptive Neural Networks.
IEEE Trans. Inf. Technol. Biomed.
Huiru Zheng, Haiying Wang, Francisco Azuaje
2008 J jnl
Permutation - based statistical tests for multiple hypotheses.
Source Code Biol. Medicine
Anyela Camargo, Francisco Azuaje, Haiying Wang, Huiru Zheng
2008 C conf
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae.
CIBCB
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2008 J jnl
Special Section on Machine Intelligence Approaches to Systems Biology.
IEEE Trans. Syst. Man Cybern. Part B
Gary B. Fogel, Eric Bullinger, S. F. Su, Francisco Azuaje
2007 J jnl
Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ignacio Ponzoni, Francisco Azuaje, Juan Carlos Augusto, David H. Glass
2007 J jnl
Integration and analysis of heterogeneous microarray data sources for supporting drug target identification in atherosclerosis.
BMC Syst. Biol.
Anyela Camargo, Francisco Azuaje
2007 J jnl
Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Haiying Wang, Huiru Zheng, Francisco Azuaje
2007 A* conf
Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery.
IJCAI
Haiying Wang, Huiru Zheng, Francisco Azuaje
2007 C conf
Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks.
BIBE
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2006 C conf
A Supervised Learning Approach to Predicting Coronary Heart Disease Complications in Type 2 Diabetes Mellitus Patients.
BIBE
Marisol Giardina, Francisco Azuaje, Paul J. McCullagh, Roy Harper
2006 J jnl
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions.
J. Integr. Bioinform.
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje
2006 J jnl
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors.
BMC Medical Informatics Decis. Mak.
Peyman Jafari, Francisco Azuaje
2006 B conf
Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression.
CBMS
Haiying Wang, Huiru Zheng, Francisco Azuaje
2006 — conf
Incorporating Biological Domain Knowledge into Cluster Validity Assessment.
EvoWorkshops
Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
2006 J jnl
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data.
BMC Bioinform.
Haiying Wang, Huiru Zheng, David Simpson, Francisco Azuaje
2006 — conf
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions.
ICDM Workshops
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, Alban Chesneau
2006 C conf
Semi-Supervised Clustering Models for Clinical Risk Assessment.
BIBE
Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper
2005 B conf
A Missing Data Estimation Analysis in Type II Diabetes Databases.
CBMS
Marisol Giardina, Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper
2005 J jnl
A knowledge-driven approach to cluster validity assessment.
Bioinform.
Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
2005 B conf
An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis.
CBMS
Haiying Wang, Francisco Azuaje, Olivier Bodenreider
2005 J jnl
An integrated tool for microarray data clustering and cluster validity assessment .
Bioinform.
Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
2005 — book
Data Analysis and Visualization in Genomics and Proteomics
Francisco Azuaje, Joaquín Dopazo
2005 — ch.
Data and Predictive Model Integration: An Overview of Key Concepts, Problems and Solutions.
Data Analysis and Visualization in Genomics and Proteomics
Francisco Azuaje, Joaquín Dopazo, Haiying Wang
2005 — ch.
Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges.
Data Analysis and Visualization in Genomics and Proteomics
Francisco Azuaje, Joaquín Dopazo
2005 J jnl
Integrative data analysis for functional prediction: a multi-objective optimization approach.
Bioinform.
Francisco Azuaje
2005 J jnl
Non-linear mapping for exploratory data analysis in functional genomics.
BMC Bioinform.
Francisco Azuaje, Haiying Wang, Alban Chesneau
2004 — conf
A Non-Random Data Sampling Method for Classification Model Assessment.
ICPR (3)
Dan Sprevak, Francisco Azuaje, Haiying Wang
2004 Misc conf
An integrated tool for microarray data clustering and cluster validity assessment.
SAC
Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
2004 J jnl
An integrative and interactive framework for improving biomedical pattern discovery and visualization.
IEEE Trans. Inf. Technol. Biomed.
Haiying Wang, Francisco Azuaje, Norman D. Black
2004 — book
Artificial Intelligence Methods And Tools For Systems Biology
Werner Dubitzky, Francisco Azuaje
2004 B conf
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation.
DaWaK
Jesús S. Aguilar-Ruiz, Francisco Azuaje, José Cristóbal Riquelme Santos
2004 C conf
Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships.
CIBCB
Haiying Wang, Francisco Azuaje, Olivier Bodenreider, Joaquín Dopazo
2004 C conf
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study.
BIBE
Francisco Azuaje, Olivier Bodenreider
2004 C conf
Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization.
CIS
Haiying Wang, Francisco Azuaje, Norman D. Black
2004 C conf
Knowledge Discovery in Lymphoma Cancer from Gene-Expression.
IDEAL
Jesús S. Aguilar-Ruiz, Francisco Azuaje
2004 J jnl
Reply to comments on 'A computational evolutionary approach to evolving game strategy and Cooperation'.
IEEE Trans. Syst. Man Cybern. Part B
Francisco Azuaje
2003 J jnl
A computational evolutionary approach to evolving game strategy and cooperation.
IEEE Trans. Syst. Man Cybern. Part B
Francisco Azuaje
2003 J jnl
A markup language for electrocardiogram data acquisition and analysis (ecgML).
BMC Medical Informatics Decis. Mak.
Haiying Wang, Francisco Azuaje, Benjamin Jung, Norman D. Black
2003 — conf
An Immune-inspired Approach to Learning and Classification.
Applied Informatics
Francisco Azuaje
2003 J jnl
Cluster validation techniques for genome expression data.
Signal Process.
Nadia Bolshakova, Francisco Azuaje
2003 J jnl
Clustering-based Approaches to Discovering and Visualising Microarray Data Patterns.
Briefings Bioinform.
Francisco Azuaje
2003 J jnl
Editorial - AI in the Life Sciences.
Artif. Intell. Rev.
Werner Dubitzky, Francisco Azuaje
2003 J jnl
Genomic data sampling and its effect on classification performance assessment.
BMC Bioinform.
Francisco Azuaje
2003 J jnl
Machaon CVE: cluster validation for gene expression data.
Bioinform.
Nadia Bolshakova, Francisco Azuaje
2002 J jnl
A cluster validity framework for genome expression data.
Bioinform.
Francisco Azuaje
2001 — ch.
A Genetic Algorithm and Growing Cell Structure Approach to Learning Case Retrieval Structures.
Soft Computing in Case Based Reasoning
Werner Dubitzky, Francisco Azuaje
2001 J jnl
A computational neural approach to support the discovery of gene function and classes of cancer.
IEEE Trans. Biomed. Eng.
Francisco Azuaje
2001 B conf
Adaptation and reverse evolution in a digital ecosystem.
SMC
Francisco Azuaje
2000 J jnl
Discovering relevance knowledge in data: a growing cell structures approach.
IEEE Trans. Syst. Man Cybern. Part B
Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenneth Adamson
2000 C conf
Making genome expression data meaningful: Prediction and discovery of classes of cancer through a connectionist learning approach.
BIBE
Francisco Azuaje
2000 J jnl
Retrieval strategies for case-based reasoning: a categorised bibliography.
Knowl. Eng. Rev.
Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenny Adamson
1999 J jnl
Improving clinical decision support through case-based data fusion.
IEEE Trans. Biomed. Eng.
Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenny Adamson
1999 Misc conf
On local and global feature weight discovery for case-based reasoning.
CATA
Werner Dubitzky, Francisco Azuaje, Philippe Lopes, Paul J. McCullagh, Y. Song
1999 J jnl
Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach.
Artif. Intell. Medicine
Francisco Azuaje, Werner Dubitzky, Philippe Lopes, Norman D. Black, Kenneth Adamson, X. Wu, John A. White