Francisco Azuaje's Publications List

Prediction of Adverse Cardiovascular Events of Noncardiovascular Drugs through Drug-Target Interaction Networks

2012-01-20T09:27:22Z

FJ Azuaje, Y Devaux, DR Wagner (2012) Clinical and Translational Science : (Article first published online : 10 JAN 2012)

Use of Circulating MicroRNAs to Diagnose Acute Myocardial Infarction.

2012-01-19T17:52:28Z

Devaux D, Vausort M, Goretti E, Nazarov PV, Azuaje F, Gilson G, Corsten M, Schroen B, Lair ML, Heymans S, Wagner DR. (2012) Clinical Chemistry :

Proof-of-principle investigation of an algorithmic model of adenosine-mediated angiogenesis.

2011-04-17T11:35:56Z

F J Azuaje, F Léonard, M Rolland-Turner, Y Devaux, D R Wagner. (2011) Theoretical Biology and Medical Modelling 8: 7

Predictive integration of gene functional similarity and co-expression defines treatment response of endothelial progenitor cells

2011-04-17T11:38:21Z

Azuaje FJ, Wang H, Zheng H, Léonard F, Rolland-Turner M, Zhang L, Devaux Y, Wagner DR. (2011) BMC Systems Biology 5: 46

Integration of transcriptional and ontology-based functional similarity information for phenotypic characterisation.

2011-03-30T10:16:31Z

Azuaje F, Wang H, Zheng H, Léonard F, Rolland-Turner M et al. (2011) In Proc. of Enabling Systems Biology Conference, London, UK, 11-14 April, 2011.

Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease.

2011-07-20T18:43:58Z

Azuaje F, Zheng H, Camargo A, Wang H. (2011) Journal of Biomedical Informatics 44: 637–647

Prognostic transcriptional association networks: A new supervised approach based on regression trees

2011-01-31T08:39:53Z

Nepomuceno I, Azuaje F, Devaux Y, Nazarov P, Muller A, Aguilar-Ruiz J, Wagner D. (2011) Bioinformatics 27: 252-258 (First published online: November 21, 2010)

Computational discrete models of tissue growth and regeneration

2011-01-31T08:38:36Z

Azuaje F (2011) Briefings in Bioinformatics 12: 64-77 (Advance Access published on May 30, 2010)

Why is it so difficult to data mine relevant genome-scale biomarkers?,

2010-12-22T12:30:48Z

Azuaje F, (2011) Expert Opinion On Medical Diagnostics 5: 1-4

An information theoretic approach to assessing Gene Ontology-driven similarity and its application.

2011-05-02T14:46:21Z

Wang H, Zheng H, Azuaje F (2011) International Journal of Data Mining and Bioinformatics. 2011. : in press.

Combined analysis of microRNA and messenger RNA profiles identifies miR-16 as a potential regulator of the proliferation of endothelial progenitor cells

2010-11-29T10:00:33Z

Rolland-Turner M, Goretti E, Léonard F, Zhang L, Nicolas C, Jeanty C, Azuaje F, Wagner DR, Devaux Y (2011) Proceedings of The 6th annual European Heart Failure Winter Research Meeting of the Heart Failure Association of the European Society of Cardiology (ESC), Les Diablerets, Switzerland, 26-29 January 2011

Low levels of vascular endothelial growth factor B predict late remodelling after myocardial infarction

2011-03-30T10:14:43Z

Devaux Yvan, Squire IB, Vausort M, Azuaje F, et al. (2011) In Proc. of ESC Heart Failure meeting, Gothenburg, Sweden, 21-24 May 2011.

Matrix metalloproteinase 9 polymorphism and outcome after myocardial infarction.

2011-08-25T13:38:34Z

Rodius S, Mulliert G, Azuaje F, Devaux, Y, Wagner D. (2011) Cardiogenetics 1: e5

Systems-level inference and dissection of drug-target interaction networks

2011-05-11T08:54:49Z

Azuaje F, Zhang L, Wagner DR, Devaux Y. (2011) In Proc. of ISMB/ECCB 2011, Vienna, Austria, 17-19 July, 2011.

Gene set analysis in the cloud.

2012-01-18T09:08:40Z

Zhang L, Gu S, Wang B, Liu Y, Azuaje F. (2011) Bioinformatics 28: 294-295

Transforming growth factor beta receptor 1 is a new candidate prognostic biomarker after acute myocardial infarction.

2011-12-15T08:33:43Z

Devaux Y, Bousquenaud M, Rodius S, Marie PY, Maskali F, Zhang L, Azuaje F, Wagner DR. (2011) BMC Medical Genomics 4: 83

Assessment of procalcitonin to predict outcome in hypothermia treated patients after cardiac arrest,

2011-10-27T07:53:13Z

Stammet P, Devaux Y, Azuaje F, Werer C, Lorang C, Gilson G, Max M. (2011) Critical Care Research and Practice 2011,: Article ID 631062

A drug-target interaction network enables inference of adverse cardiovascular events of non-cardiovascular drugs.

2011-09-23T11:33:06Z

Azuaje F, Zhang L, Wagner DR, Devaux Y. (2011) 4th RECOMB Conference on Regulatory Genomics, Systems Biology, and DREAM Challenges, Barcelona, Spain,14-19 October 2011.

Information encoded in a network of inflammation proteins predicts clinical outcome after myocardial infarction.

2011-07-15T10:19:46Z

Azuaje F, Rodius S, Zhang L, Devaux Y, Wagner DR. (2011) BMC Medical Genomics 4: 59

Incorporation of ontology-driven biological knowledge into cardiovascular genomics.

2011-06-07T08:31:21Z

Zheng H, Wang H, Azuaje F. (2011) Proc. of Computing in Cardiology 2011 (CinC2011)

Drug-target network in myocardial infarction reveals multiple side effects of unrelated drugs

2011-08-25T13:40:43Z

Azuaje FJ, Zhang L, Devaux Y, Wagner DR. (2011) Nature's Scientific Reports 1: 52

Vascular endothelial growth factor –B is associated with outcome after myocardial infarction

2010-03-10T09:29:37Z

Devaux Y, Yvorra C, Azuaje F, Vausort M, Kelly D, Ng LL, Squire IB, Wagner DR (2010) in Proc. of Heart Failure Winter Research Meeting 2010, Les Diablerets, Switzerland, 27-30 January 2010.

Association between vascular endothelial growth factor –B and outcome after myocardial infarction

2010-03-10T09:28:20Z

Devaux Y, Yvorra C, Azuaje F, Vausort M, Kelly D, Ng LL, Squire IB, Wagner DR (2010) in Proc. of European Society of Cardiology (ESC) Heart Failure Congress 2010, 29 May – 1 June, 2010, Berlin, Germany.

Integrative pathway-centric modeling of ventricular dysfunction after myocardial infarction

2010-03-15T15:04:47Z

Azuaje F, Devaux Y, Wagner D (2010) PLoS ONE 5(3): e9661:

A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks

2010-03-11T13:08:28Z

Browne F, Wang H, Zheng H, Azuaje F (2010) Computers in Biology and Medicine 40: 306-317

Bioinformatics and biomarker discovery: “Omic” data analysis for personalised medicine

2011-07-09T14:19:23Z

Azuaje F (2010) :

From experimental approaches to computational techniques: a review on the prediction of protein-protein interactions

2010-04-08T14:10:10Z

Browne F, Zheng H, Wang H, Azuaje F (2010) Advances in Artificial Intelligence 2010:

Identification of potential targets in biological signalling systems through network-based perturbation analysis

2010-03-10T09:25:04Z

Azuaje F, Devaux Y, Wagner D (2010) BioSystems 100: 55–64

What does systems biology mean for biomarker discovery?

2010-01-05T13:38:54Z

Azuaje F (2010) Expert Opinion on Medical Diagnostics 4: 1-10

Multi-level integrative analysis of protein-protein interaction networks: Connecting completeness, depth and robustness

2010-08-10T12:21:04Z

Blayney J, Wang H, Zheng H, Azuaje F (2010) Int. J. Computational Biology and Drug Design 3: 31-51

seGOsa: Software Environment for Gene Ontology-driven Similarity Assessment

2010-10-04T13:12:14Z

Zheng H, Azuaje F, Wang H (2010) Proc. of IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2010)

eNelator: a simulation system for large-scale vulnerability analysis of species-, disease- and process-specific protein networks.

2011-05-02T14:43:36Z

Zheng H, Wang H, Azuaje F, (2010) Journal of Computational Science 1: 197-205

Transcriptional networks characterize ventricular dysfunction after myocardial infarction: A proof-of-concept investigation

2010-09-07T08:13:49Z

Azuaje F, Devaux Y, Vausort M, Yvorra C, Wagner D, (2010) Journal of Biomedical Informatics 43: 812–819

Ontology- and graph-based similarity assessment in biological networks

2010-10-08T08:35:17Z

Wang H, Zheng H, Azuaje F (2010) Bioinformatics 26: 2643-2644

Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network

2010-05-25T14:55:59Z

Azuaje F, Devaux Y, Wagner D (2010) BMC Systems Biology 4: 60

Integrated protein network and microarray analysis to identify potential biomarkers after myocardial infarction.

2010-09-22T13:25:49Z

Devaux Y, Azuaje F, Vausort M, Yvorra C, Wagner D (2010) Functional & Integrative Genomics 43: : 812–819

Integration of Gene Ontology-based Similarities for Supporting Analysis of Protein-Protein Interaction Networks

2010-09-07T08:12:04Z

Wang H, Zheng H, Browne F, Glass D, Azuaje F, (2010) Pattern Recognition Letters 31: 2073-2082

Assessing the impact of network depth on the analysis of PPI networks: A case study

2009-11-08T17:16:11Z

Blayney J, Wang H, Zheng H, Azuaje F (2009) Proc. of 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 200-207

Transcriptional regulatory networks specify clinical outcome after myocardial infarction

2008-12-29T11:07:43Z

Azuaje F, Devaux Y, Yvorra C, Vausort M, Jeanty C, Wagner D (2009) Proc. of 2009 AMIA Summit on Translational Bioinformatics, 15-17 March 2009, San Francisco, USA.

Machine learning techniques for the automated classification of adhesin-like proteins in the human protozoan parasite Trypanosoma cruzi

2009-11-08T17:12:59Z

Gonzalez A, Azuaje F, Da Silveira J, Ramirez, J, Dorronsoro J ( 2009) IEEE/ACM Trans. on Computational Biology and Bioinformatics 6: 695-702

Supervised prediction of heart failure through transcriptional association networks

2010-03-10T09:32:59Z

Nepomuceno I, Azuaje F, Nazarov PV, Muller A, Devaux Y, Vallar L, Aguilar-Ruiz JS, and Wagner DR (2009) in Proc. of BBC09, the fifth Benelux Bioinformatics Conference, Liège, Belgium, 14-15 December 2009, p. 23.

Prediction of heart failure after myocardial infarction through integrative bioinformatics

2008-12-29T11:09:10Z

Devaux Y, Azuaje F, Yvorra C, Vausort M, Jeanty C, Wagner D (2009) Proc. of 2009 AMIA Summit on Translational Bioinformatics, 15-17 March 2009, San Francisco, USA.

Challenges and standards in reporting diagnostic and prognostic biomarker studies

2009-05-29T08:47:43Z

Azuaje F, Devaux Y, Wagner D (2009) CTS Clinical and Translational Science 2: 156 - 161

Computational biology for cardiovascular biomarker discovery

2009-11-08T17:19:17Z

Azuaje F, Devaux Y, Wagner D (2009) Briefings in Bioinformatics 10: 367-377

GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction

2009-01-26T13:02:13Z

Fiona Browne, Haiying Wang, Huiru Zheng, Francisco Azuaje (2009) Source Code for Biology and Medicine 2009 4: 2

Prediction of heart failure after myocardial infarction through integrative bioinformatics

2009-06-04T07:17:34Z

Devaux Y, Azuaje F, Yvorra C, Vausort M, Jeanty C, Wagner D (2009) in Proc. of the Heart Failure Congress 2009, Nice, France, 29 May-2 June 2009, p. 914.

A Standard-Compliant Global Map of the Bile Acid/Xenobiotic Signalling Network: Construction and Automated Query Processing

2009-11-08T17:15:31Z

Schmidt O, Lopez J, Azuaje F, Thompson P, Swain M, Dubitzky D (2009) Proc. of the 2009 International Conference on Bioinformatics and Computational Biology (BIOCOMP'09) 657-663

Assessing the Most Effective Depth for PPI Analysis

2009-11-08T17:17:48Z

Blayney J, Wang H, Zheng H, Azuaje F (2009) Proc. 2009 International Joint Conferences on System Biology, Bioinformatics and Intelligent Computing (IJCBS09) 286-292

An integrative Bayesian approach to supporting the prediction of protein-protein interaction networks

2009-11-08T17:17:08Z

Browne F, Zheng H, Wang H, Azuaje F (2009) Proceedings of World Academy of Science, Engineering and Technology, WASET International Conference on Bioinformatics and Bioengineering

Innovative Methods in Assessing Political Risk for Business Internationalization

2009-03-04T10:05:38Z

Rios-Morales R, Gamberger D, Šmuc T, Azuaje F (2009) Research in International Business and Finance 23 : 2 144-156

Impact of PPI Network Depth and Node Classification on the Identification of Biologically Relevant Targets - A Case Study

2009-02-04T22:54:46Z

Blayney JK, Wang H, Zheng H, Azuaje F (2009) Proc. of Conference on Synthetic Biology, Systems Biology and Bioinformatics (BioSysBio 2009), Cambridge, UK, 23 - 25 March 2009.

Clustering-based Approaches to SAGE Data Mining

2008-07-18T08:16:23Z

Wang H, Zheng H, Azuaje F (2008) BioData Mining, 1:5:

Computational prediction of protein interaction networks through supervised classification techniques

2008-12-17T21:00:22Z

Browne F, Wang H, Zheng H and Azuaje (2008) International Journal of Functional Informatics and Personalised Medicine 1: 2 205-221

Reassessing the genomic data integration limits for the prediction of protein-protein interactions in Saccharomyces cerevisiae

2008-05-05T11:24:10Z

Browne F, Wang H, Zheng H and Azuaje F (2008) Proc. 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

Special section on machine intelligence approaches to systems biology.

2008-05-09T13:28:34Z

The three papers in this special section focus on machine intelligence approaches to systems biology.

G B Fogel, E Bullinger, S F Su, F Azuaje (2008) IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 38 (1), pp. 2 – 4.

Identification of dilated cardiomyopathy signature genes through gene expression and network data integration

2008-11-16T17:47:16Z

Camargo A, Azuaje F (2008) Genomics 92 : 404−413

Improving pattern discovery and visualization of SAGE data through Poisson-based self-adaptive neural networks

2008-07-21T08:41:18Z

Zheng H, Wang H, Azuaje F (2008) IEEE Transactions on Information Technology in Biomedicine 12: 4 459-46

Nature’s Journal Club, comment on “Parasites lead to evolution of robustness against gene loss in host signaling networks”

2008-09-25T11:57:16Z

Azuaje F (2008) Nature, 455, p. 435,

Integrated network and microarray analysis to identify new biomarkers of heart failure after myocardial infarction

2008-08-27T14:27:37Z

Devaux Y, Yvorra C, Vausort M, Azuaje F, Wagner D (2008) Proceedings of The 13th Annual Meeting of the European Council for Cardiovascular Research

Permutation-based statistical tests for multiple hypotheses

2008-12-17T21:04:29Z

Camargo A, Azuaje F, Wang H, Zheng H (2008) Source Code for Biology and Medicine 3: 15

Integration of genetic polymorphisms to predict ventricular function after myocardial infarction

2008-08-27T14:28:52Z

Ernens I, Berrahmoune H, Azuaje F, Vausort M, Visvikis-Siest S, Devaux Y, Wagner D (2008) Proceedings of The 13th Annual Meeting of the European Council for Cardiovascular Research (ECCR)

Knowledge-driven data integration for the prediction of protein-protein interactions networks

2008-08-27T11:22:23Z

Browne F, Zheng H, Wang H, Azuaje F (2008) Proceedings of 2nd International Workshop on Systems Biology, August 17-20, 2008, Maynooth, Ireland.

Integrated network and microarray analysis to identify new biomarkers of heart failure after myocardial infarction

2008-11-14T13:46:15Z

Devaux Y, Yvorra C, Vausort M, Jeanty C, Azuaje F, Wagner D, (2008) Circulation. 118: S_864-S_865, 2008

Knowledge-driven data integration for the prediction of protein-protein interaction networks

2008-06-27T13:17:34Z

Zheng H, Browne F, Wang H, Azuaje F (2008) ISMB 2008, Toronto, Canada.

From genes to complex networks in the post-genome era

2008-05-09T13:09:20Z

Azuaje F (2007) Proc. of IUPAC/OPCW International Workshop, The Impact of Advances in Science and Technology on the Chemical Weapons Convention, April 22-27, 2007, ISBN 978-953-6894-30-7, pp. 25 – 28, and in journal Pure and Applied Chemistry

Integration and analysis of heterogeneous microarray data sources for supporting drug target identification in atherosclerosis

2008-05-09T13:10:36Z

(2007) in Proc. of Systems Biology, Bioinformatics and Synthetic Biology Conference (BioSysBio), Manchester, January 11-13, 2007, and in BMC Systems Biology, 1 (Suppl. 1): P9

An exploration of the genetic robustness landscape of surface protein families in the human protozoan parasite Trypanosoma cruzi.

2008-04-30T21:12:47Z

The ability of genes to be robust to mutations at the codon level has been suggested as a key factor for understanding adaptation features. It has been proposed that genes relevant to host-parasite interactions will tend to exhibit high volatility or "antirobust" patterns, which may be related to the capacity of the parasite to evade the host immune system. We compared two superfamilies of surface...

Francisco Azuaje, José Luis Ramirez, José Franco Da Silveira (2007) IEEE Trans Nanobioscience 6: 3 223-228

Identification of dilated cardiomyopathy signature genes through gene expression and network data integration

2008-05-05T11:25:34Z

Camargo A, Azuaje F (2007) Proceedings of CAMDA 2007

Poisson-based self-organizing feature maps and hierarchical clustering for serial analysis of gene expression data.

2008-04-30T21:12:47Z

Serial analysis of gene expression (SAGE) is a powerful technique for global gene expression profiling, allowing simultaneous analysis of thousands of transcripts without prior structural and functional knowledge. Pattern discovery and visualization have become fundamental approaches to analyzing such large-scale gene expression data. From the pattern discovery perspective, clustering techniques h...

Haiying Wang, Huiru Zheng, Francisco Azuaje (2007) IEEE/ACM Trans Comput Biol Bioinform 4: 2 163-175

Inferring adaptive regulation thresholds and association rules from gene expression data through combinatorial optimization learning.

2008-04-30T21:12:47Z

There is a need to design computational methods to support the prediction of gene regulatory networks. Such models should offer both biologically-meaningful and computationally-accurate predictions, which in combination with other techniques may improve large-scale, integrative studies. This paper presents a new machine learning method for the prediction of putative regulatory associations from ex...

Ignacio Ponzoni, Francisco Azuaje, Juan Augusto, David Glass (2007) IEEE/ACM Trans Comput Biol Bioinform 4: 4 624-634

In silico, biologically-inspired modelling of genomic variation generation in surface proteins of Trypanosoma cruzi.

2008-04-30T21:12:47Z

BACKGROUND: Protozoan parasites improve the likelihood of invading or adapting to the host through their capacity to present a large repertoire of surface molecules. The understanding of the mechanisms underlying the generation of antigenic diversity is crucial to aid in the development of therapies and the study of evolution. Despite advances driven by molecular biology and genomics, there is a n...

Francisco J Azuaje, Jose L Ramirez, Jose F Da Silveira (2007) Kinetoplastid Biol Dis 6:

Supervised statistical and machine learning approaches to inferring pairwise and module-based protein interaction networks

2008-05-05T11:26:49Z

Browne F, Wang H, Zheng H, Azuaje F (2007) Proceedings of 7th IEEE Symposium on Bioinformatics and Bioengineering (BIBE07)

Self-Adaptive Neural Networks Based on a Poisson Approach for Knowledge Discovery

2008-05-05T11:27:51Z

Wang H., Zheng H, and Azuaje F (2007) Proceedings of Twentieth International Joint Conference on Artificial Intelligence (IJCAI07)

Linking gene expression and functional network data in human heart failure.

2008-07-19T14:18:33Z

BACKGROUND: Gene expression profiling and the analysis of protein-protein interaction (PPI) networks may support the identification of disease bio-markers and potential drug targets. Thus, a step forward in the development of systems approaches to medicine is the integrative analysis of these data sources in specific pathological conditions. We report such an integrative bioinformatics analysis in...

Anyela Camargo, Francisco Azuaje (2007) PLoS ONE 2: 12

Semi-Supervised Clustering Models for Clinical Risk Assessment

2008-05-06T11:00:10Z

Huo Y, Azuaje F, McCullagh P, Harper R (2006) Proceedings of 6th IEEE Symposium on Bioinformatics and Bioengineering (BIBE06) 243-250

Supervised Learning Approach to Predicting Coronary Heart Disease Complications in Type 2 Diabetes Mellitus Patients

2008-05-06T10:59:13Z

Giardina M, Azuaje F, McCullagh P, Harper R (2006) Proceedings of 6th IEEE Symposium on Bioinformatics and Bioengineering (BIBE06) 325-331

Computational Approaches to Supporting Large-Scale Analysis of Photoreceptor-Enriched Gene Expression

2008-05-06T11:02:00Z

Wang H, Zheng H, Azuaje F (2006) Proc. of the 19th IEEE Symposium on Computer-Based Medical Systems 533-38

Incorporating biological domain knowledge into cluster validity assessment

2008-05-06T11:02:54Z

Bolshakova N, Azuaje F, Cunningham P (2006) Proc. of 4th European Workshop on Evolutionary Computation and Machine Learning in Bioinformatics 13 – 22

Integrative data mining for assessing international conflict events

2008-05-06T13:52:57Z

Azuaje F, Wang HY, Zheng H, Liu C, Wang H, Rios-Morales R, (2006) Proc. of 3rd IEEE International Conference on Intelligent Systems 483-488

The Influence of Good Governance Indicators in Political Risk Assessment: Establishing Quantitative Relationships Through Data Mining

2008-05-06T13:52:05Z

Rios-Morales R, and Azuaje F (2006) Proceedings of Irish Academy of Management (IAM) Annual Conference

Predictive integration of Gene Ontology-driven similarity and functional interactions

2008-05-05T11:28:49Z

Azuaje F, Wang H, Zheng H, Bodenreider O, Chesneau (2006) Proceedings of IEEE International Conference on Data Mining (ICDM) 2006, Workshop on Data Mining in Bioinformatics

An introduction to unsupervised learning for ECG classification

2008-05-02T13:57:34Z

Wang H, Azuaje F (2006) Advanced methods and tools for ECG data analysis 319-336

Ontology-driven approaches to analyzing data in functional genomics.

2008-04-30T21:12:47Z

Ontologies are fundamental knowledge representations that provide not only standards for annotating and indexing biological information, but also the basis for implementing functional classification and interpretation models. This chapter discusses the application of gene ontology (GO) for predictive tasks in functional genomics. It focuses on the problem of analyzing functional patterns associate...

Francisco Azuaje, Fatima Al-Shahrour, Joaquin Dopazo (2006) Methods Mol Biol 316: 67-86

An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors.

2008-04-30T21:12:47Z

BACKGROUND: The analysis of large-scale gene expression data is a fundamental approach to functional genomics and the identification of potential drug targets. Results derived from such studies cannot be trusted unless they are adequately designed and reported. The purpose of this study is to assess current practices on the reporting of experimental design and statistical analyses in gene expressi...

Peyman Jafari, Francisco Azuaje (2006) BMC Med Inform Decis Mak 6:

Estimating the number of clusters in DNA microarray data.

2008-04-30T21:12:47Z

OBJECTIVES: The main objective of the research is an application of the clustering and cluster validity methods to estimate the number of clusters in cancer tumor datasets. A weighed voting technique is going to be used to improve the prediction of the number of clusters based on different data mining techniques. These tools may be used for the identification of new tumour classes using DNA microa...

Nadia Bolshakova, F Azuaje (2006) Methods Inf Med 45: 2 153-157

Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data.

2008-04-30T21:12:47Z

BACKGROUND: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfunction of the rod and cone photoreceptor cells. Development and maintenance of photoreceptors requires appropriate regulation of the many genes specifically or highly expressed in these cells. Over the last decades, diffe...

Haiying Wang, Huiru Zheng, David Simpson, Francisco Azuaje (2006) BMC Bioinformatics 7:

An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions

2008-05-02T13:49:16Z

Browne F, Wang H, Zheng H, Azuaje F (2006) Journal of Integrative Bioinformatics 3: 2

Advanced methods and tools for ECG data analysis

2008-11-15T16:00:23Z

(2006) :

Evaluation of Computational Classification Methods for Discriminating Human Heart Failure Etiology Based on Gene Expression Data

2008-05-06T11:01:07Z

Wang H, Zheng H, Azuaje F (2006) Proceedings of Computers in Cardiology 2006 277−280

Political Risk Assessment Using Integrative Data Mining

2008-05-09T13:12:19Z

Rios-Morales R, and Azuaje F (2006) presented at 4th INFINITI Conference on International Finance, Dublin, Ireland, 12-13 June, pp. 48, 2006.

Review of ‘Data Mining: Practical Machine Learning Tools and Techniques’ by Witten and Frank

2008-05-09T13:21:45Z

Azuaje F (2006) BioMedical Engineering OnLine, 5:51

An assessment of machine and statistical learning methods to inferring networks of protein-protein interactions poster presented at the International Workshop on Systems Biology 2006, Hamilton Institute, National University of Ireland, Maynooth, July 17-19, 2006

2008-05-09T13:11:38Z

Browne F, Wang H, Zheng H, Azuaje F (2006) poster presented at the International Workshop on Systems Biology 2006, Hamilton Institute, National University of Ireland, Maynooth, July 17-19, 2006

Data and predictive model integration: An overview of key concepts, problems and solutions

2008-05-02T13:58:59Z

Azuaje F, Dopazo J, Wang H. (2005) Data Analysis and Visualization in Genomics and Proteomics 29-40

An integrated tool for microarray data clustering and cluster validity assessment.

2008-04-30T21:12:47Z

SUMMARY: In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression ...

Nadia Bolshakova, Francisco Azuaje, Pádraig Cunningham (2005) Bioinformatics 21: 4 451-455

Integrative data analysis and visualisation: Introduction to critical problems, goals and challenges

2008-05-02T13:58:01Z

Azuaje F, Dopazo J (2005) Data Analysis and Visualization in Genomics and Proteomics 3-9

A Missing Data Estimation Analysis in Type II Diabetes Databases

2008-05-06T13:54:46Z

Giardina M, Huo Y, Azuaje F, McCullagh P, Harper R (2005) Proc. of the 18th IEEE Symposium on Computer-Based Medical Systems 347-352

Data Analysis and Visualization in Genomics and Proteomics

2008-11-15T16:00:39Z

(2005) :

An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis

2008-05-06T13:53:58Z

Wang H, Azuaje F, Bodenreider O (2005) Proc. of the 18th IEEE Symposium on Computer-Based Medical Systems 389–394

Review of ‘Gene Regulation and Metabolism’ edited by Julio Collado-Vides and Ralf Hofestadt

2008-05-09T13:22:18Z

Azuaje F (2005) BioMedical Engineering OnLine, 4:47

Review of ‘Mining Imperfect Data’ by Ronald K. Pearson

2008-05-09T13:22:47Z

Azuaje F (2005) BioMedical Engineering OnLine, 4:43

Review of ‘Statistical Analysis and Data Display’ by Richard M. Heiberger and Burt Holland

2008-05-09T13:23:24Z

Azuaje F (2005) BioMedical Engineering OnLine, 4:18

Multiple SVM-RFE for gene selection in cancer classification with expression data.

2008-04-30T21:12:47Z

This paper proposes a new feature selection method that uses a backward elimination procedure similar to that implemented in support vector machine recursive feature elimination (SVM-RFE). Unlike the SVM-RFE method, at each step, the proposed approach computes the feature ranking score from a statistical analysis of weight vectors of multiple linear SVMs trained on subsamples of the original train...

Kai-Bo Duan, Jagath C Rajapakse, Haiying Wang, Francisco Azuaje (2005) IEEE Trans Nanobioscience 4: 3 228-234

Ontology-driven similarity approaches to supporting gene functional assessment

2008-05-09T13:14:04Z

Azuaje, F., Wang, H., and Bodenreider, O. (2005) In Proc. Of The Eighth Annual Bio-Ontologies Meeting, Michigan, 25 June, pp. 9-10, http://bio-ontologies.man.ac.uk/

Integrative data analysis for functional prediction: a multi-objective optimization approach.

2008-04-30T21:12:47Z

SUMMARY: An integrative classification system for functional genomics is introduced. A comparison with a previous study of the yeast mitochondrial proteome is presented. AVAILABILITY: A demonstration prototype, interSearch, is available on request. SUPPLEMENTARY INFORMATION: http://ijsr32.infj.ulster.ac.uk/~e10110731/interSearch.

F Azuaje (2005) Bioinformatics 21: 9 2099-2100

A knowledge-driven approach to cluster validity assessment.

2008-04-30T21:12:47Z

This paper presents an approach to assessing cluster validity based on similarity knowledge extracted from the Gene Ontology. AVAILABILITY: The program is freely available for non-profit use on request from the authors.

Nadia Bolshakova, Francisco Azuaje, Pádraig Cunningham (2005) Bioinformatics 21: 10 2546-2547

Non-linear mapping for exploratory data analysis in functional genomics.

2008-04-30T21:12:47Z

BACKGROUND: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory, visualisation-driven approaches. Such approaches should satisfy the following factors: Support for intuitive cluster visualisation, user-friendly and robust application, computational efficiency and generation of biolog...

Francisco Azuaje, Haiying Wang, Alban Chesneau (2005) BMC Bioinformatics 6:

Guest Editorial Special Section on Molecular and Cellular Systems Biology

2008-05-09T13:29:21Z

Lopez J, Azuaje F, Prank K, Dubitzky (2004,) IEEE Transactions on Nanobioscience, Vol. 3 (3), pp. 141-143.

Gene expression correlation and gene ontology-based similarity: An assessment of quantitative relationships

2008-05-06T13:55:50Z

Wang H, Azuaje F, Bodenreider O, Dopazo J. (2004) Proc. of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 25–31

Interactive neural network-based approaches for improving biomedical pattern discovery and visualisation

2008-05-07T14:28:09Z

Wang H, Azuaje F, Black N (2004) Proc. of International Symposium on Computational and Information Sciences (CIS'04) 556-561

Reply to comments on 'A computational evolutionary approach to evolving game strategy and cooperation'

2008-05-09T13:24:10Z

Azuaje F (2004) IEEE Trans. on Systems, Man and Cybernetics, Part B, Vol. 34, No 3, pp. 1573

A non-random data sampling method for classification model assessment

2008-05-07T14:31:11Z

Sprevak D, Azuaje F, Wang H (2004) Proc. of 17th International Conference on Pattern Recognition (ICPR 2004)

Gene ontology-driven similarity for gene expression correlation analaysis

2008-05-09T13:14:42Z

Azuaje F, Wang H, Bodenreider O, Dopazo J (2004) in Proc. of the 2nd Conference on Standards and Ontologies for Functional Genomics (SOFG 2), Philadelphia, Pennsylvania, October 23-26, 2004, p. 47.

Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation

2008-05-08T09:53:34Z

Aguilar-Ruiz J, Azuaje F, Riquelme J (2004) Proceedings of 6th International Conference on Data Warehousing and Knowledge Discovery (DaWaK)

Methods and tools for generating and managing ecgML-based information

2008-05-07T14:29:24Z

Wang H, Azuaje F, Clifford G, Jung B, Black (2004) Proc. of 2004 Computers in Cardiology 573-576

Artificial Intelligence Methods and Tools for Systems Biology

2008-05-08T10:00:35Z

(2004) :

An integrated tool for microarray data clustering and cluster validity

2008-05-08T09:52:33Z

Bolshakova N, Azuaje F, Cunningham P (2004) Proc. of 19th ACM Symposium on Applied Computing (SAC) 133 – 137

Knowledge discovery in lymphoma cancer from gene-expression

2008-05-07T14:30:17Z

Aguilar-Ruiz J, Azuaje F (2004) Proc. of Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2004) 31-38

An integrative and interactive framework for improving biomedical pattern discovery and visualization.

2008-04-30T21:12:47Z

Recent progress in medical sciences has led to an explosive growth of data. Due to its inherent complexity and diversity, mining such volumes of data to extract relevant knowledge represents an enormous challenge and opportunity. Interactive pattern discovery and visualization systems for biomedical data mining have received relatively little attention. Emphasis has been traditionally placed on au...

Haiying Wang, Francisco Azuaje, Norman Black (2004) IEEE Trans Inf Technol Biomed 8: 1 16-27

Incorporating ontology-driven similarity knowledge into functional genomics: An exploratory study

2008-05-07T14:32:08Z

Azuaje F, Bodenreider O (2004) Proceedings of IEEE 4th Symposium on Bioinformatics and Bioengineering (BIBE-2004) 317-324

Estimating the number of clusters in DNA microarray data

2008-05-09T13:15:40Z

Bolshakova N, Azuaje F (2004) Proceedings of the International Joint Meeting EuroMISE 2004 - International Medical Informatics Association (IMIA) Conference on Statistical Methodologies in Bioinformatics and Clinical Trials, Prague, April 12th-15th, p. 25. 2004.

Cluster validation techniques for genome expression data classification

2008-05-02T14:01:37Z

Bolshakova N, Azuaje F (2003) Signal Processing 83: 4 825-833

Clustering genome expression data: Design and evaluation principles

2008-05-05T07:39:43Z

Azuaje F, and Bolshakova N (2003) Understanding and Using Microarray Analysis Techniques: A Practical Guide 230-245

AI in the Life Sciences

2008-05-09T13:30:14Z

Dubitzky W, Azuaje F (2003) Artificial Intelligence Review, 20, pp. 7-11

Review of ‘Self-organizing neural networks’ by Seiffert U. and Jain L

2008-05-09T13:26:33Z

Azuaje F (2003) Neural Networks, Vol. 16 (1), pp. 145-146

Discovering genome expression patterns with self-organizing neural networks

2008-05-05T07:40:44Z

Azuaje F (2003) Understanding and Using Microarray Analysis Techniques: A Practical Guide 261-273

Clustering-based approaches to discovering and visualising microarray data patterns.

2008-04-30T21:12:47Z

This article focuses on clustering techniques for the analysis of microarray data and discusses contributions and applications for the implementation of intelligent diagnostic systems and therapy design studies. Approaches to validating and visualising expression clustering results and software and other relevant resources to support clustering-based analyses are reviewed. Finally, this paper addr...

Francisco Azuaje (2003) Brief Bioinform 4: 1 31-42

Genomic data sampling and its effect on classification performance assessment.

2008-04-30T21:12:47Z

BACKGROUND: Supervised classification is fundamental in bioinformatics. Machine learning models, such as neural networks, have been applied to discover genes and expression patterns. This process is achieved by implementing training and test phases. In the training phase, a set of cases and their respective labels are used to build a classifier. During testing, the classifier is used to predict ne...

Francisco Azuaje (2003) BMC Bioinformatics 4:

A markup language for electrocardiogram data acquisition and analysis (ecgML).

2008-04-30T21:12:47Z

BACKGROUND: The storage and distribution of electrocardiogram data is based on different formats. There is a need to promote the development of standards for their exchange and analysis. Such models should be platform-/ system- and application-independent, flexible and open to every member of the scientific community. METHODS: A minimum set of information for the representation and storage of elec...

Haiying Wang, Francisco Azuaje, Benjamin Jung, Norman Black (2003) BMC Med Inform Decis Mak 3:

Machaon CVE: cluster validation for gene expression data.

2008-04-30T21:12:47Z

SUMMARY: This paper presents a cluster validation tool for gene expression data. Machaon CVE (Clustering and Validation Environment) system aims to partition samples or genes into groups characterized by similar expression patterns, and to evaluate the quality of the clusters obtained. AVAILABILITY: The program is freely available for non-profit use on request at http://www.cs.tcd.ie/Nadia.Bolshak...

Nadia Bolshakova, Francisco Azuaje (2003) Bioinformatics 19: 18 2494-2495

Review of ‘Artificial immune systems: a new computational intelligence approach’ by de Castro L. and Timmis J.

2008-05-09T13:25:16Z

Azuaje F (2003) Neural Networks, Vol. 16 (8), pp. 1229-1230.

Biomolecular pattern discovery, visualisation and classification based on a self-adaptive neural networks

2008-05-08T09:56:44Z

Wang H, Azuaje F, Black N (2003) Proc. of Prep 2003, Postgraduate Research Conference in Electronics, Photonics, Communications and Software 228-229

A computational evolutionary approach to evolving game strategy and cooperation.

2008-04-30T21:12:47Z

This paper describes an approach to the co-evolution of competing virtual creatures. Pairs of individuals enter one-on-one contests in which they contend to establish contact with a common resource. The individuals are subjected to competitive fitness functions. In each tournament one type of organism implements a game rule based on a set of basic cognitive capabilities. The second type of contest...

F Azuaje (2003) IEEE Trans Syst Man Cybern B Cybern 33: 3 498-503

ecgML: Tools and technologies for multimedia ECG presentation

2008-05-08T09:54:35Z

Wang H, Jung B, Azuaje F, Black N (2003) Proc. of XML Europe Conference

Improving expression data mining through cluster validation

2008-05-08T13:00:00Z

Bolshakova N, Azuaje F (2003) Proc. of IEEE International Conference on Information Technology Applications in Biomedicine 19-22

Biomedical pattern discovery and visualisation based on self-adaptive neural networks

2008-05-08T09:55:22Z

Wang H, Azuaje F, Black N (2003) Proc. of IEEE International Conference on Information Technology Applications in Biomedicine, ITAB-2003 306-309

An immune-inspired approach to learning and classification

2008-05-08T13:00:48Z

Azuaje F (2003) Proceedings of the 21st IASTED International Conference on Applied Informatics 1-6

In silico approaches to microarray-based disease classification and gene function discovery.

2008-04-30T21:12:47Z

The automated analysis of transcriptional profiling data promises a wealth of information that may be used to develop a more complete understanding of gene function and interactions. Moreover, it may improve the effectiveness of complex diagnostic tasks. This article discusses important data mining and management techniques to analyse genome-wide expression data. It reviews some of the major disco...

Francisco Azuaje (2002) Ann Med 34: 4 299-305

Estudio del cáncer de linfoma a partir del nivel de expresividad genética con técnicas KDD

2008-05-08T12:59:12Z

Aguilar-Ruiz J, Azuaje F, Riquelme J, Mateos D, Hidalgo J, Rueda M, Ortiz M ( 2002) Proceedings of IBERAMIA 2002, VIII Iberoamerican Conference on Artificial Intelligence 137-148

Improving biomolecular pattern discovery and visualization with hybrid self-adaptive networks.

2008-04-30T21:12:47Z

There is an increasing need to develop powerful techniques to improve biomedical pattern discovery and visualization. This paper presents an automated approach, based on hybrid self-adaptive neural networks, to pattern identification and visualization for biomolecular data. The methods are tested on two datasets: leukemia expression data and DNA splice-junction sequences. Several supervised and un...

Haiying Wang, Francisco Azuaje, Norman Black (2002) IEEE Trans Nanobioscience 1: 4 146-166

Review of ‘Classification’ by Gordon A.

2008-05-09T13:27:33Z

Azuaje F (2002) IEEE Engineering in Biology and Medicine Medicine, Vol. 21 (4), p. 132

A cluster validity framework for genome expression data.

2008-04-30T21:12:47Z

This paper presents a method for the assessment of expression cluster validity.

F Azuaje (2002) Bioinformatics 18: 2 319-320

Genomes, man, and machines.

2008-04-30T21:12:47Z

F Azuaje (2001) IEEE Eng Med Biol Mag 20: 4 18-9; 21

An unsupervised neural network approach to discovering gene expression patterns in B-cell lymphoma

2008-05-05T07:38:19Z

Azuaje F (2001) Online Journal of Bioinformatics 1: 23-41

Tumor identification by gene expression profiles: A comparison of five different clustering methods

2008-05-05T07:44:28Z

Granzow M., Berrar D., Dubitzky W., Schuster A., Azuaje F. and Eils R (2001) ACM-SIGBIO Letters 21: 1 16-22

A computational neural approach to support the discovery of gene function and classes of cancer.

2008-04-30T21:12:47Z

Advances in molecular classification of tumours may play a central role in cancer treatment. Here, a novel approach to genome expression pattern interpretation is described and applied to the recognition of B-cell malignancies as a test set. Using cDNA microarrays data generated by a previous study, a neural network model known as simplified fuzzy ARTMAP is able to identify normal and diffuse larg...

F Azuaje (2001) IEEE Trans Biomed Eng 48: 3 332-339

Evolving game strategy through diversity and cooperation

2008-05-08T13:02:46Z

Azuaje F (2001) Proceedings of the 2001 IASTED International Conference on Artificial Intelligence and Applications 171-176

Genomes, Man and Machines

2008-05-09T13:31:07Z

Azuaje F (2001) IEEE Engineering in Biology and Medicine, Vol. 20, No 4, pp. 18-19 and 21

Adaptation and reverse evolution in a digital ecosystem

2008-05-08T13:01:49Z

Azuaje F (2001) Proceedings of IEEE Conference on Systems, Man and Cybernetics 1064- 1068

A genetic algorithm and a growing cell structures approach to learning case retrieval structures

2008-05-05T07:45:44Z

Dubitzky, W and Azuaje F (2000) Soft Computing in Case-Based Reasoning 115-146

Case retrieval strategies for CBR: a categorised bibliography

2008-05-05T07:42:28Z

Azuaje F, Dubitzky W, Black N, Adamson K (2000) The Knowledge Engineering Review 15 : 4 371-379

Gene expression patterns and cancer classification: A self-adaptive and incremental neural approach

2008-05-08T13:29:48Z

Azuaje F (2000) Proceedings of IEEE International Conference on Information Technology Applications in Biomedicine 308-313

Making genome expression data meaningful: Prediction and discovery of classes of cancer through a connectionist learning approach

2008-05-08T13:28:46Z

Azuaje F (2000) Proceedings of IEEE International Symposium on Bioinformatics and Biomedical Engineering 208- 213

Interpretation of genome expression patterns: computational challenges and opportunities.

2008-04-30T21:12:47Z

F Azuaje (2000) IEEE Eng Med Biol Mag 19: 6

Tumor identification by gene expression profiles: A comparison of five clustering methods

2008-05-09T13:16:21Z

Schuster A., Dubitzky W., Azuaje F, Granzow M., Berrar D. and Eils R (2000) Proceedings of CAMDA-00: Critical Assessment of Techniques for Microarray Data Mining , pp. 34-35, 2000.

Discovering relevance knowledge in data: a growing cell structures approach.

2008-04-30T21:12:47Z

Both information retrieval and case-based reasoning systems rely on effective and efficient selection of relevant data. Typically, relevance in such systems is approximated by similarity or indexing models. However, the definition of what makes data items similar or how they should be indexed is often nontrivial and time-consuming. Based on growing cell structure artificial neural networks, this p...

F Azuaje, W Dubitzky, N Black, K Adamson (2000) IEEE Trans Syst Man Cybern B Cybern 30: 3 448-460

On local and global feature weight discovery for case-based reasoning

2008-05-09T13:06:30Z

Dubitzky W, Azuaje F, Lopes P, Black, McCullagh P, and Song P ( 1999) Proc. ISCA 14th Int. Conf. on Computers and their Applications 107-110

Improving clinical decision support through case-based data fusion.

2008-05-05T11:34:26Z

This paper presents an information fusion technique based on a knowledge discovery model, and the case-based reasoning decision framework. Using signal data and database records from the heart disease risk estimation domain, three data fusion methods are discussed. Two of these methods combine information at the retrieval-outcome level, and one method merges data at the discovery-input level. The ...

F Azuaje, W Dubitzky, N Black, K Adamson (1999) IEEE Trans Biomed Eng 46: 10 1181-1185

Predicting coronary disease risk based on short-term RR interval measurements: a neural network approach.

2008-04-30T21:12:47Z

Coronary heart disease is a multifactorial disease and it remains the most common cause of death in many countries. Heart rate variability has been used for non-invasive measurement of parasympathetic activity and prediction of cardiac death. Patterns of heart rate variability associated with respiratory sinus arrhythmia have recently been considered as possible indicators of coronary heart diseas...

F Azuaje, W Dubitzky, P Lopes, N Black, K Adamson, X Wu, J A White (1999) Artif Intell Med 15: 3 275-297

A neural network approach for case retrieval

2008-05-08T13:31:34Z

Wu X, Dubitzky W, and Azuaje F (1999) Proceedings of the 2nd International Conference on Information Fusion 46-52

Viewing knowledge management as a case-based application

2008-05-09T13:05:32Z

Dubitzky W, Büchner A, and Azuaje, F (1999) Proceedings of the AAAI’99 Workshop on Knowledge Management and CBR Synergy 23-27

Discovering and fusing relevant knowledge in databases

2008-05-08T13:30:26Z

Azuaje F, Dubitzky W, Black N, Adamson K (1999) Proceedings of the 2nd International Conference on Information Fusion 31-38

Automated modelling of case retrieval structures using self-organising neural networks

2008-05-08T13:32:31Z

Azuaje F, Dubitzky W, Black N, and Adamson K (1999) Proceedings of the ISCA International Conference on Information Reuse and Integration 32-35

Making clinical data meaningful: Knowledge discovery in coronary disease risk assessment

2008-05-09T13:17:52Z

Azuaje F, Dubitzky W, Lopes P, Black N, Adamson K, Wu X, and White J. (1998) Proceedings of Bio-Engineering in Ireland, Limerick, Ireland, pp. 62, Jan 30, 1998.

Knowledge discovery in electrocardiographic data based on neural clustering algorithms

2008-05-09T13:02:52Z

Azuaje F, Dubitzky W, Lopes P, Black N, Adamson K, Wu X, and White J. (1998) Proceedings of the VIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON '98)

Making clinical data meaningful: Knowledge discovery in coronary disease risk assessment

2008-05-09T13:17:14Z

Azuaje F, Dubitzky W, Lopes P, Black N, Adamson K, Wu X, and White J. (1998) Irish Journal of Medical Science, 167(4), 274, 1998.

Discovery of incomplete knowledge in electrocardiographic data

2008-05-08T13:34:44Z

Azuaje F, Dubitzky W, Lopes P, Black N, Adamson K, Wu X, and White J. (1998) Proceedings of the Third International Conference on Neural Networks and Expert Systems in Medicine and Healthcare 286-294

A neural network approach to coronary heart disease risk assessment based on short-term measurement of RR intervals

2008-05-09T13:04:23Z

Azuaje F, Dubitzky W, Wu X, Lopes P, Black N, Adamson K, and White J.A (1997) Proceedings of The IEEE Conference on Computers in Cardiology 53-56

Abordar la superautopista con una carretera de tierra

2008-05-05T07:46:42Z

Azuaje F (1997) Revista Nueva Sociedad 147: 132-145

Abordar la superautopista a traves de una carretera de tierra

2008-05-09T13:20:02Z

Azuaje F (1996) Proceedings of II Jornadas Latinoamericanas de Estudios Sociales de la Ciencia y Tecnologia (ESOCITE 96), Caracas, pp. 16, 1996.

Development of a computational tool for the modelling of the axon potential

2008-05-09T13:18:42Z

Azuaje F, Carbunaru R, D’Alessandro R, and Lara E (1995) Acta Cientifica Venezolana, 46, pp. 241, ISSM 1315-6241

Interactive systems for medical signal acquisition

2008-05-09T13:07:38Z

Azuaje F, Contasti R, Materan T, Villegas G (1995) Proceedings of the First Conference of the Venezuelan Bioengineering Society

An interactive system for the acquisition of biomedical signals

2008-05-09T13:19:19Z

Azuaje F, Contasti R, and Villegas G (1994) Acta Cientifica Venezolana, 45, pp. 67, ISSM 1315-6241, 1994.