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Publications
Browne F, Wang H, Zheng H, Azuaje F “An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions”
presented at International Workshop Integrative Bioinformatics, Harpenden, UK, 4-6 September 2006
published in Journal of Integrative Bioinformatics, 3(2), 2006
http://journal.imbio.de
Jafari P, Azuaje F “An assessment of recently published gene expression data analyses: Reporting experimental design and statistical factors”
BMC Medical Informatics and Decision Making, 6:27, 2006
http://www.biomedcentral.com/1472-6947/6/27
Wang H, Zheng H, Azuaje F “Evaluation of Computational Classification Methods for Discriminating Human Heart Failure Etiology Based on Gene Expression Data”
in Proceedings of Computers in Cardiology 2006, IEEE Press, Valencia, Spain, September 17-20, 2006.
Abstract
Human heart failure is a complex syndrome that can be initiated by a variety of clinical conditions and geneticl factors. Gene expression profiling offers opportunities to study changes in transcriptional activity in heart failure samples of different etiologies. This paper evaluates machine and statistical learning models for supporting the identification of heart failure etiology based on gene expression data. Six supervised classification models were evaluated on a publicly-available human heart failure dataset. The Naive Bayes, Support Vector Machines, and k-Nearest Neighbours achieved the most significant prediction performances. Using a correlation coefficient-based gene-ranking criterion, the impact of the number of genes on the prediction performance was investigated. Information from the top 5 genes was sufficient to accurately distinguish between ischemic and idiopathic samples.
Camargo A, Azuaje F “Linking Gene Expression and Functional Network Data in Human Heart Failure”
PLoS ONE 2(12), 2007: e1347
doi:10.1371/journal.pone.0001347
Camargo A, Azuaje F “Identification of dilated cardiomyopathy signature genes through gene expression and network data integration”
presented at The seventh international conference for the Critical Assessment of Microarray Data Analysis (CAMDA 2007), Valencia, Spain, 12-14 December, 2007
Giacomini M., Lorandi F., Ruggiero C. “A standard tool to interconnect clincal, genomic and proteomic data”
presented at Medicon 2007, 11th Mediterranean Conference on Medical and Biological Engineering and Computing, Ljubljana (Slovenia) 26 / 30-6-2007, pp. 693-695