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Francisco Azuaje
Francisco Javier Azuaje
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2020 – today
- 2020
- [c29]Poorya Parvizi
, Francisco Azuaje, Evropi Theodoratou
A Network-Based Embedding Method for Drug-Target Interaction Prediction. EMBC 2020: 5304-5307
2010 – 2019
- 2017
- [j50]Francisco Azuaje:
Computational models for predicting drug responses in cancer research. Briefings Bioinform. 18(5): 820-829 (2017) - 2014
- [j49]Haiying Wang
An information theoretic approach to assessing gene-ontology-driven similarity and its application. Int. J. Data Min. Bioinform. 9(2): 121-134 (2014) - 2013
- [c28]Haiying Wang
Detection of protein complexes in protein interaction networks is improved through network-driven functional homogeneity analysis. BIBM 2013: 43-48 - [c27]Huiru Zheng
Correlating adverse drug reactions with biological pathways in humans. BIBM 2013: 197-200 - 2012
- [j48]Lu Zhang
Gene set analysis in the cloud. Bioinform. 28(2): 294-295 (2012) - [j47]Francisco Azuaje, Michaël Heymann, Anne-Marie Ternes, Anke Wienecke-Baldacchino
Bioinformatics as a driver, not a passenger, of translational biomedical research: Perspectives from the 6th Benelux bioinformatics conference. J. Clin. Bioinform. 2: 7 (2012) - [c26]Haiying Wang
Drug-target network in myocardial infarction: A structural analysis. BIBM 2012: 1-4 - 2011
- [j46]Francisco Azuaje:
Computational discrete models of tissue growth and regeneration. Briefings Bioinform. 12(1): 64-77 (2011) - [j45]Isabel A. Nepomuceno-Chamorro
Prognostic transcriptional association networks: a new supervised approach based on regression trees. Bioinform. 27(2): 252-258 (2011) - [j44]Francisco Azuaje, Haiying Wang
Predictive integration of gene functional similarity and co-expression defines treatment response of endothelial progenitor cells. BMC Syst. Biol. 5: 46 (2011) - [j43]Francisco Azuaje, Huiru Zheng
Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease. J. Biomed. Informatics 44(4): 637-647 (2011) - 2010
- [j42]Fiona Browne
From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein-Protein Interactions. Adv. Artif. Intell. 2010: 924529:1-924529:15 (2010) - [j41]Haiying Wang
Ontology- and graph-based similarity assessment in biological networks. Bioinform. 26(20): 2643-2644 (2010) - [j40]Francisco Azuaje, Yvan Devaux
Identification of potential targets in biological signalling systems through network perturbation analysis. Biosyst. 100(1): 55-64 (2010) - [j39]Francisco Azuaje, Yvan Devaux, Daniel R. Wagner:
Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network. BMC Syst. Biol. 4: 60 (2010) - [j38]Fiona Browne
A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks. Comput. Biol. Medicine 40(3): 306-317 (2010) - [j37]Jaine K. Blayney, Huiru Zheng
Multi-level integrative analysis of Protein - Protein Interaction networks: connecting completeness, depth and robustness. Int. J. Comput. Biol. Drug Des. 3(1): 31-51 (2010) - [j36]Francisco Azuaje, Yvan Devaux
Transcriptional networks characterize ventricular dysfunction after myocardial infarction: A proof-of-concept investigation. J. Biomed. Informatics 43(5): 812-819 (2010) - [j35]Huiru Zheng
eNelator: A simulation system for large-scale vulnerability analysis of species-, disease- and process-specific protein networks. J. Comput. Sci. 1(4): 197-205 (2010) - [j34]Haiying Wang
Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks. Pattern Recognit. Lett. 31(14): 2073-2082 (2010) - [c25]Huiru Zheng
seGOsa: Software environment for gene ontology-driven similarity assessment. BIBM 2010: 539-542
2000 – 2009
- 2009
- [j33]Francisco Azuaje, Yvan Devaux, Daniel R. Wagner:
Computational biology for cardiovascular biomarker discovery. Briefings Bioinform. 10(4): 367-377 (2009) - [j32]Fiona Browne
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction. Source Code Biol. Medicine 4: 2 (2009) - [j31]Ana M. González, Francisco Azuaje, Jose L. Ramirez, Jose F. da Silveira, José R. Dorronsoro:
Machine Learning Techniques for the Automated Classification of Adhesin-Like Proteins in the Human Protozoan Parasite Trypanosoma cruzi. IEEE ACM Trans. Comput. Biol. Bioinform. 6(4): 695-702 (2009) - [c24]Oliver Schmidt, José López, Francisco Azuaje, Paul Thompson, Martin T. Swain, Werner Dubitzky:
A standard-compliant global map of the bile acid/xenobiotic signaling network: Construction and automated query processing. BIOCOMP 2009: 657-663 - [c23]Jaine K. Blayney, Haiying Wang
Assessing the impact of network depth on the analysis of PPI networks: A case study. CIBCB 2009: 200-207 - [c22]Jaine K. Blayney, Huiru Zheng
Assessing the Most Effective Depth for PPI Analysis. IJCBS 2009: 286-292 - 2008
- [j30]Haiying Wang, Huiru Zheng, Francisco Azuaje:
Clustering-based approaches to SAGE data mining. BioData Min. 1 (2008) - [j29]Fiona Browne
Computational prediction of protein interaction networks through supervised classification techniques. Int. J. Funct. Informatics Pers. Medicine 1(2): 205-221 (2008) - [j28]Anyela Camargo, Francisco Azuaje, Haiying Wang
Permutation - based statistical tests for multiple hypotheses. Source Code Biol. Medicine 3 (2008) - [j27]Huiru Zheng
Improving Pattern Discovery and Visualization of SAGE Data Through Poisson-Based Self-Adaptive Neural Networks. IEEE Trans. Inf. Technol. Biomed. 12(4): 459-469 (2008) - [j26]Gary B. Fogel, Eric Bullinger
Special Section on Machine Intelligence Approaches to Systems Biology. IEEE Trans. Syst. Man Cybern. Part B 38(1): 2-4 (2008) - [c21]Fiona Browne
Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. CIBCB 2008: 128-135 - 2007
- [j25]Anyela Camargo, Francisco Azuaje:
Integration and analysis of heterogeneous microarray data sources for supporting drug target identification in atherosclerosis. BMC Syst. Biol. 1(S-1): P9 (2007) - [j24]Haiying Wang
Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 163-175 (2007) - [j23]Ignacio Ponzoni
Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 4(4): 624-634 (2007) - [c20]Fiona Browne
Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks. BIBE 2007: 1365-1369 - [c19]Haiying Wang, Huiru Zheng, Francisco Azuaje:
Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery. IJCAI 2007: 1101-1106 - 2006
- [j22]Haiying Wang
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data. BMC Bioinform. 7: 116 (2006) - [j21]Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje:
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions. J. Integr. Bioinform. 3(2) (2006) - [j20]Peyman Jafari
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors. BMC Medical Informatics Decis. Mak. 6: 27 (2006) - [c18]Yongyang Huo, Francisco Azuaje, Paul J. McCullagh
Semi-Supervised Clustering Models for Clinical Risk Assessment. BIBE 2006: 243-250 - [c17]Marisol Giardina, Francisco Azuaje, Paul J. McCullagh
A Supervised Learning Approach to Predicting Coronary Heart Disease Complications in Type 2 Diabetes Mellitus Patients. BIBE 2006: 325-331 - [c16]Haiying Wang
Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression. CBMS 2006: 533-538 - [c15]Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
Incorporating Biological Domain Knowledge into Cluster Validity Assessment. EvoWorkshops 2006: 13-22 - [c14]Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, Alban Chesneau:
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions. ICDM Workshops 2006: 114-119 - 2005
- [j19]Nadia Bolshakova
An integrated tool for microarray data clustering and cluster validity assessment . Bioinform. 21(4): 451-455 (2005) - [j18]Francisco Azuaje:
Integrative data analysis for functional prediction: a multi-objective optimization approach. Bioinform. 21(9): 2099-2100 (2005) - [j17]Nadia Bolshakova
A knowledge-driven approach to cluster validity assessment. Bioinform. 21(10): 2546-2547 (2005) - [j16]Francisco Azuaje, Haiying Wang
Non-linear mapping for exploratory data analysis in functional genomics. BMC Bioinform. 6: 13 (2005) - [c13]Marisol Giardina, Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper:
A Missing Data Estimation Analysis in Type II Diabetes Databases. CBMS 2005: 347-352 - [c12]Haiying Wang, Francisco Azuaje, Olivier Bodenreider:
An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis. CBMS 2005: 389-394 - [p3]Francisco Azuaje, Joaquín Dopazo:
Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges. Data Analysis and Visualization in Genomics and Proteomics 2005: 1-9 - [p2]Francisco Azuaje, Joaquín Dopazo, Haiying Wang
Data and Predictive Model Integration: An Overview of Key Concepts, Problems and Solutions. Data Analysis and Visualization in Genomics and Proteomics 2005: 29-39 - [e2]Francisco Azuaje, Joaquín Dopazo:
Data Analysis and Visualization in Genomics and Proteomics. Wiley 2005, ISBN 978-0-470-09439-6 [contents] - 2004
- [j15]Haiying Wang
An integrative and interactive framework for improving biomedical pattern discovery and visualization. IEEE Trans. Inf. Technol. Biomed. 8(1): 16-27 (2004) - [j14]Francisco Azuaje:
Reply to comments on 'A computational evolutionary approach to evolving game strategy and Cooperation'. IEEE Trans. Syst. Man Cybern. Part B 34(3): 1573 (2004) - [c11]Francisco Azuaje, Olivier Bodenreider:
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study. BIBE 2004: 317-324 - [c10]Haiying Wang, Francisco Azuaje, Olivier Bodenreider, Joaquín Dopazo:
Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships. CIBCB 2004: 25-31 - [c9]Haiying Wang, Francisco Azuaje, Norman D. Black:
Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization. CIS 2004: 556-561 - [c8]Jesús S. Aguilar-Ruiz
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation. DaWaK 2004: 279-288 - [c7]Dan Sprevak, Francisco Azuaje, Haiying Wang
A Non-Random Data Sampling Method for Classification Model Assessment. ICPR (3) 2004: 406-409 - [c6]Jesús S. Aguilar-Ruiz
Knowledge Discovery in Lymphoma Cancer from Gene-Expression. IDEAL 2004: 31-38 - [c5]Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham
An integrated tool for microarray data clustering and cluster validity assessment. SAC 2004: 133-137 - [e1]Werner Dubitzky, Francisco Azuaje:
Artificial Intelligence Methods And Tools For Systems Biology. Computational Biology 5, Springer 2004, ISBN 978-1-4020-2859-5 [contents] - 2003
- [j13]Werner Dubitzky, Francisco Azuaje:
Editorial - AI in the Life Sciences. Artif. Intell. Rev. 20(1-2): 7-11 (2003) - [j12]Francisco Azuaje:
Clustering-based Approaches to Discovering and Visualising Microarray Data Patterns. Briefings Bioinform. 4(1): 31-42 (2003) - [j11]Nadia Bolshakova
Machaon CVE: cluster validation for gene expression data. Bioinform. 19(18): 2494-2495 (2003) - [j10]Francisco Azuaje:
Genomic data sampling and its effect on classification performance assessment. BMC Bioinform. 4: 5 (2003) - [j9]Haiying Wang, Francisco Azuaje, Benjamin Jung, Norman D. Black:
A markup language for electrocardiogram data acquisition and analysis (ecgML). BMC Medical Informatics Decis. Mak. 3: 4 (2003) - [j8]Nadia Bolshakova, Francisco Azuaje:
Cluster validation techniques for genome expression data. Signal Process. 83(4): 825-833 (2003) - [j7]Francisco Azuaje:
A computational evolutionary approach to evolving game strategy and cooperation. IEEE Trans. Syst. Man Cybern. Part B 33(3): 498-503 (2003) - [c4]Francisco Azuaje:
An Immune-inspired Approach to Learning and Classification. Applied Informatics 2003: 1-6 - 2002
- [j6]Francisco Azuaje:
A cluster validity framework for genome expression data. Bioinform. 18(2): 319-320 (2002) - 2001
- [j5]Francisco Azuaje:
A computational neural approach to support the discovery of gene function and classes of cancer. IEEE Trans. Biomed. Eng. 48(3): 332-339 (2001) - [c3]Francisco Azuaje:
Adaptation and reverse evolution in a digital ecosystem. SMC 2001: 1064-1068 - [p1]Werner Dubitzky, Francisco Azuaje:
A Genetic Algorithm and Growing Cell Structure Approach to Learning Case Retrieval Structures. Soft Computing in Case Based Reasoning 2001: 115-146 - 2000
- [b1]Francisco Javier Azuaje:
An unsupervised neural learning approach to retrieval strategies for case-based reasoning and decision support. Ulster University, UK, 2000 - [j4]Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenny Adamson:
Retrieval strategies for case-based reasoning: a categorised bibliography. Knowl. Eng. Rev. 15(4): 371-379 (2000) - [j3]Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenneth Adamson:
Discovering relevance knowledge in data: a growing cell structures approach. IEEE Trans. Syst. Man Cybern. Part B 30(3): 448-460 (2000) - [c2]Francisco Azuaje:
Making genome expression data meaningful: Prediction and discovery of classes of cancer through a connectionist learning approach. BIBE 2000: 208-213
1990 – 1999
- 1999
- [j2]Francisco Azuaje, Werner Dubitzky, Philippe Lopes, Norman D. Black, Kenneth Adamson, X. Wu, John A. White:
Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach. Artif. Intell. Medicine 15(3): 275-297 (1999) - [j1]Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenny Adamson:
Improving clinical decision support through case-based data fusion. IEEE Trans. Biomed. Eng. 46(10): 1181-1185 (1999) - [c1]Werner Dubitzky, Francisco Azuaje, Philippe Lopes, Paul J. McCullagh, Y. Song:
On local and global feature weight discovery for case-based reasoning. CATA 1999: 107-110
Coauthor Index
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