2008 |
40 | EE | 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 |
39 | EE | 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) |
38 | EE | 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) |
2007 |
37 | EE | 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 | EE | Haiying Wang,
Huiru Zheng,
Francisco Azuaje:
Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery.
IJCAI 2007: 1101-1106 |
35 | EE | 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 | EE | 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 | EE | Haiying Wang,
Huiru Zheng,
Francisco Azuaje:
Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression.
CBMS 2006: 533-538 |
30 | EE | Nadia Bolshakova,
Francisco Azuaje,
Padraig Cunningham:
Incorporating Biological Domain Knowledge into Cluster Validity Assessment.
EvoWorkshops 2006: 13-22 |
29 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Haiying Wang,
Francisco Azuaje,
Olivier Bodenreider:
An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis.
CBMS 2005: 389-394 |
24 | EE | Francisco Azuaje,
Haiying Wang,
Alban Chesneau:
Non-linear mapping for exploratory data analysis in functional genomics.
BMC Bioinformatics 6: 13 (2005) |
23 | EE | Nadia Bolshakova,
Francisco Azuaje,
Padraig Cunningham:
A knowledge-driven approach to cluster validity assessment.
Bioinformatics 21(10): 2546-2547 (2005) |
22 | EE | Nadia Bolshakova,
Francisco Azuaje,
Padraig Cunningham:
An integrated tool for microarray data clustering and cluster validity assessment .
Bioinformatics 21(4): 451-455 (2005) |
21 | EE | Francisco Azuaje:
Integrative data analysis for functional prediction: a multi-objective optimization approach.
Bioinformatics 21(9): 2099-2100 (2005) |
2004 |
20 | EE | Francisco Azuaje,
Olivier Bodenreider:
Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study.
BIBE 2004: 317-324 |
19 | EE | Haiying Wang,
Francisco Azuaje,
Norman D. Black:
Interactive GSOM-Based Approaches for Improving Biomedical Pattern Discovery and Visualization.
CIS 2004: 556-561 |
18 | EE | 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 | EE | Dan Sprevak,
Francisco Azuaje,
Haiying Wang:
A Non-Random Data Sampling Method for Classification Model Assessment.
ICPR (3) 2004: 406-409 |
16 | EE | Jesús S. Aguilar-Ruiz,
Francisco Azuaje:
Knowledge Discovery in Lymphoma Cancer from Gene-Expression.
IDEAL 2004: 31-38 |
15 | EE | 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 | EE | 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 | EE | Werner Dubitzky,
Francisco Azuaje:
Editorial - AI in the Life Sciences.
Artif. Intell. Rev. 20(1-2): 7-11 (2003) |
10 | EE | 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 | EE | 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) |