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Francisco Azuaje

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2008
40EEFiona 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
39EEHuiru 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)
38EEGary 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)
2007
37EEFiona 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
36EEHaiying Wang, Huiru Zheng, Francisco Azuaje: Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery. IJCAI 2007: 1101-1106
35EEHaiying 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)
34EEIgnacio 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
31EEHaiying Wang, Huiru Zheng, Francisco Azuaje: Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression. CBMS 2006: 533-538
30EENadia Bolshakova, Francisco Azuaje, Padraig Cunningham: Incorporating Biological Domain Knowledge into Cluster Validity Assessment. EvoWorkshops 2006: 13-22
29EEFrancisco Azuaje, Haiying Wang, Huiru Zheng, Olivier Bodenreider, Alban Chesneau: Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions. ICDM Workshops 2006: 114-119
28EEHaiying 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)
27EEFiona 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
26EEMarisol Giardina, Yongyang Huo, Francisco Azuaje, Paul J. McCullagh, Roy Harper: A Missing Data Estimation Analysis in Type II Diabetes Databases. CBMS 2005: 347-352
25EEHaiying Wang, Francisco Azuaje, Olivier Bodenreider: An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis. CBMS 2005: 389-394
24EEFrancisco Azuaje, Haiying Wang, Alban Chesneau: Non-linear mapping for exploratory data analysis in functional genomics. BMC Bioinformatics 6: 13 (2005)
23EENadia Bolshakova, Francisco Azuaje, Padraig Cunningham: A knowledge-driven approach to cluster validity assessment. Bioinformatics 21(10): 2546-2547 (2005)
22EENadia Bolshakova, Francisco Azuaje, Padraig Cunningham: An integrated tool for microarray data clustering and cluster validity assessment . Bioinformatics 21(4): 451-455 (2005)
21EEFrancisco Azuaje: Integrative data analysis for functional prediction: a multi-objective optimization approach. Bioinformatics 21(9): 2099-2100 (2005)
2004
20EEFrancisco Azuaje, Olivier Bodenreider: Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study. BIBE 2004: 317-324
19EEHaiying Wang, Francisco Azuaje, Norman D. Black: Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization. CIS 2004: 556-561
18EEJesús 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
17EEDan Sprevak, Francisco Azuaje, Haiying Wang: A Non-Random Data Sampling Method for Classification Model Assessment. ICPR (3) 2004: 406-409
16EEJesús S. Aguilar-Ruiz, Francisco Azuaje: Knowledge Discovery in Lymphoma Cancer from Gene-Expression. IDEAL 2004: 31-38
15EENadia 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)
13EEFrancisco 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
11EEWerner Dubitzky, Francisco Azuaje: Editorial - AI in the Life Sciences. Artif. Intell. Rev. 20(1-2): 7-11 (2003)
10EEFrancisco 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)
6EENadia 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)

Coauthor Index

1Kenneth Adamson [1] [3]
2Jesús S. Aguilar-Ruiz [16] [18]
3Juan Augusto [34]
4Norman D. Black [1] [3] [14] [19]
5Olivier Bodenreider [20] [25] [29]
6Nadia Bolshakova [6] [9] [15] [22] [23] [30]
7Fiona Browne [27] [37] [40]
8Eric Bullinger [38]
9Alban Chesneau [24] [29]
10Padraig Cunningham [15] [22] [23] [30]
11Werner Dubitzky [1] [2] [3] [11]
12Gary B. Fogel [38]
13Marisol Giardina [26] [32]
14David Glass [34]
15Roy Harper [26] [32] [33]
16Yongyang Huo [26] [33]
17Philippe Lopes [1] [2]
18Paul J. McCullagh [2] [26] [32] [33]
19Ignacio Ponzoni [34]
20José Cristóbal Riquelme Santos [18]
21David Simpson [28]
22Y. Song [2]
23Dan Sprevak [17]
24S. F. Su [38]
25Haiying Wang [14] [17] [19] [24] [25] [27] [28] [29] [31] [35] [36] [37] [39] [40]
26John A. White [1]
27X. Wu [1]
28Huiru Zheng [27] [28] [29] [31] [35] [36] [37] [39] [40]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)