| 2009 | ||
|---|---|---|
| 45 | Oliver Schmidt, Jose López, Francisco Azuaje, Paul Thompson, Martin Swain, Werner Dubitzky: A standard-compliant global map of the bile acid/xenobiotic signaling network: Construction and automated query processing. BIOCOMP 2009: 657-663 | |
| 44 | Francisco Azuaje, Yvan Devaux, Daniel Wagner: Computational biology for cardiovascular biomarker discovery. Briefings in Bioinformatics 10(4): 367-377 (2009) | |
| 2008 | ||
| 43 | Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje: Reassessing the limit of data integration for the prediction of protein-protein interactions in Saccharomyces cerevisiae. CIBCB 2008: 128-135 | |
| 42 | Haiying Wang, Huiru Zheng, Francisco Azuaje: Clustering-based approaches to SAGE data mining. BioData Mining 1: (2008) | |
| 41 | Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje: Computational prediction of protein interaction networks through supervised classification techniques. I. J. Functional Informatics and Personalised Medicine 1(2): 205-221 (2008) | |
| 40 | Huiru Zheng, Haiying Wang, Francisco Azuaje: Improving Pattern Discovery and Visualization of SAGE Data Through Poisson-Based Self-Adaptive Neural Networks. IEEE Transactions on Information Technology in Biomedicine 12(4): 459-469 (2008) | |
| 39 | Gary B. Fogel, Eric Bullinger, S. F. Su, Francisco Azuaje: Special Section on Machine Intelligence Approaches to Systems Biology. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(1): 2-4 (2008) | |
| 38 | Anyela Camargo, Francisco Azuaje, Haiying Wang, Huiru Zheng: Permutation - based statistical tests for multiple hypotheses. Source Code for Biology and Medicine 3: (2008) | |
| 2007 | ||
| 37 | Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje: Supervised Statistical and Machine Learning Approaches to Inferring Pairwise and Module-Based Protein Interaction Networks. BIBE 2007: 1365-1369 | |
| 36 | Haiying Wang, Huiru Zheng, Francisco Azuaje: Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery. IJCAI 2007: 1101-1106 | |
| 35 | Haiying Wang, Huiru Zheng, Francisco Azuaje: Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering for Serial Analysis of Gene Expression Data. IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 163-175 (2007) | |
| 34 | Ignacio Ponzoni, Francisco Azuaje, Juan Augusto, David Glass: Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning. IEEE/ACM Trans. Comput. Biology Bioinform. 4(4): 624-634 (2007) | |
| 2006 | ||
| 33 | Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper: Semi-Supervised Clustering Models for Clinical Risk Assessment. BIBE 2006: 243-250 | |
| 32 | Marisol Giardina, Francisco Azuaje, Paul J. McCullagh, Roy Harper: A Supervised Learning Approach to Predicting Coronary Heart Disease Complications in Type 2 Diabetes Mellitus Patients. BIBE 2006: 325-331 | |
| 31 | Haiying Wang, Huiru Zheng, Francisco Azuaje: Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression. CBMS 2006: 533-538 | |
| 30 | Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham: Incorporating Biological Domain Knowledge into Cluster Validity Assessment. EvoWorkshops 2006: 13-22 | |
| 29 | 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 | |
| 28 | Haiying Wang, Huiru Zheng, David Simpson, Francisco Azuaje: Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data. BMC Bioinformatics 7: 116 (2006) | |
| 27 | Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje: An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions. J. Integrative Bioinformatics 3(2): (2006) | |
| 2005 | ||
| 26 | 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 | |
| 25 | Haiying Wang, Francisco Azuaje, Olivier Bodenreider: An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis. CBMS 2005: 389-394 | |
| 24 | Francisco Azuaje, Haiying Wang, Alban Chesneau: Non-linear mapping for exploratory data analysis in functional genomics. BMC Bioinformatics 6: 13 (2005) | |
| 23 | Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham: A knowledge-driven approach to cluster validity assessment. Bioinformatics 21(10): 2546-2547 (2005) | |
| 22 | Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham: An integrated tool for microarray data clustering and cluster validity assessment . Bioinformatics 21(4): 451-455 (2005) | |
| 21 | Francisco Azuaje: Integrative data analysis for functional prediction: a multi-objective optimization approach. Bioinformatics 21(9): 2099-2100 (2005) | |
| 2004 | ||
| 20 | Francisco Azuaje, Olivier Bodenreider: Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study. BIBE 2004: 317-324 | |
| 19 | Haiying Wang, Francisco Azuaje, Norman D. Black: Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization. CIS 2004: 556-561 | |
| 18 | Jesús S. Aguilar-Ruiz, Francisco Azuaje, José Cristóbal Riquelme Santos: Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation. DaWaK 2004: 279-288 | |
| 17 | Dan Sprevak, Francisco Azuaje, Haiying Wang: A Non-Random Data Sampling Method for Classification Model Assessment. ICPR (3) 2004: 406-409 | |
| 16 | Jesús S. Aguilar-Ruiz, Francisco Azuaje: Knowledge Discovery in Lymphoma Cancer from Gene-Expression. IDEAL 2004: 31-38 | |
| 15 | Nadia Bolshakova, Francisco Azuaje, Padraig Cunningham: An integrated tool for microarray data clustering and cluster validity assessment. SAC 2004: 133-137 | |
| 14 | Haiying Wang, Francisco Azuaje, Norman D. Black: An integrative and interactive framework for improving biomedical pattern discovery and visualization. IEEE Transactions on Information Technology in Biomedicine 8(1): 16-27 (2004) | |
| 13 | Francisco Azuaje: Reply to comments on 'A computational evolutionary approach to evolving game strategy and Cooperation'. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(3): 1573 (2004) | |
| 2003 | ||
| 12 | Francisco Azuaje: An Immune-inspired Approach to Learning and Classification. Applied Informatics 2003: 1-6 | |
| 11 | Werner Dubitzky, Francisco Azuaje: Editorial - AI in the Life Sciences. Artif. Intell. Rev. 20(1-2): 7-11 (2003) | |
| 10 | Francisco Azuaje: Genomic data sampling and its effect on classification performance assessment. BMC Bioinformatics 4: 5 (2003) | |
| 9 | Nadia Bolshakova, Francisco Azuaje: Machaon CVE: cluster validation for gene expression data. Bioinformatics 19(18): 2494-2495 (2003) | |
| 8 | Francisco Azuaje: Clustering-based Approaches to Discovering and Visualising Microarray Data Patterns. Briefings in Bioinformatics 4(1): 31-42 (2003) | |
| 7 | Francisco Azuaje: A computational evolutionary approach to evolving game strategy and cooperation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(3): 498-503 (2003) | |
| 6 | Nadia Bolshakova, Francisco Azuaje: Cluster validation techniques for genome expression data. Signal Processing 83(4): 825-833 (2003) | |
| 2002 | ||
| 5 | Francisco Azuaje: A cluster validity framework for genome expression data. Bioinformatics 18(2): 319-320 (2002) | |
| 2000 | ||
| 4 | Francisco Azuaje: Making genome expression data meaningful: Prediction and discovery of classes of cancer through a connectionist learning approach. BIBE 2000: 208-213 | |
| 3 | Francisco Azuaje, Werner Dubitzky, Norman D. Black, Kenneth Adamson: Discovering relevance knowledge in data: a growing cell structures approach. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(3): 448-460 (2000) | |
| 1999 | ||
| 2 | Werner Dubitzky, Francisco Azuaje, Philippe Lopes, Paul J. McCullagh, Y. Song: On local and global feature weight discovery for case-based reasoning. Computers and Their Applications 1999: 107-110 | |
| 1 | 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. Artificial Intelligence in Medicine 15(3): 275-297 (1999) | |