Francisco Azuaje
Francisco Azuaje
Genomics England
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Advanced methods and tools for ECG data analysis
GD Clifford, F Azuaje
Artech house, 2006
Multiple SVM-RFE for gene selection in cancer classification with expression data
KB Duan, JC Rajapakse, H Wang, F Azuaje
IEEE transactions on nanobioscience 4 (3), 228-234, 2005
Cluster validation techniques for genome expression data
N Bolshakova, F Azuaje
Signal processing 83 (4), 825-833, 2003
Stem cell-associated heterogeneity in Glioblastoma results from intrinsic tumor plasticity shaped by the microenvironment
A Dirkse, A Golebiewska, T Buder, PV Nazarov, A Muller, S Poovathingal, ...
Nature communications 10 (1), 1787, 2019
Use of circulating microRNAs to diagnose acute myocardial infarction
Y Devaux, M Vausort, E Goretti, PV Nazarov, F Azuaje, G Gilson, ...
Clinical chemistry 58 (3), 559-567, 2012
ECG statistics, noise, artifacts, and missing data
GD Clifford, F Azuaje, P Mcsharry
Advanced methods and tools for ECG data analysis 6 (1), 18, 2006
Single‐cell transcriptomics reveals distinct inflammation‐induced microglia signatures
C Sousa, A Golebiewska, SK Poovathingal, T Kaoma, Y Pires‐Afonso, ...
EMBO reports 19 (11), e46171, 2018
An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors
P Jafari, F Azuaje
BMC Medical Informatics and Decision Making 6 (1), 1-8, 2006
Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships
H Wang, F Azuaje, O Bodenreider, J Dopazo
2004 Symposium on Computational Intelligence in Bioinformatics and …, 2004
Computational models for predicting drug responses in cancer research
F Azuaje
Briefings in bioinformatics 18 (5), 820-829, 2017
Solutions to instability problems with sequential wrapper-based approaches to feature selection
K Dunne, P Cunningham, F Azuaje
Journal of Machine Learning Research 1, 22, 2002
Ontology-driven similarity approaches to supporting gene functional assessment
F Azuaje, H Wang, O Bodenreider
Proceedings of the ISMB’2005 SIG meeting on Bio-ontologies 2005, 9-10, 2005
A cluster validity framework for genome expression data
F Azuaje
Bioinformatics 18 (2), 319-320, 2002
Permutation–based statistical tests for multiple hypotheses
A Camargo, F Azuaje, H Wang, H Zheng
Source code for biology and medicine 3, 1-8, 2008
Artificial intelligence for precision oncology: beyond patient stratification
F Azuaje
NPJ precision oncology 3 (1), 6, 2019
Databases for lncRNAs: a comparative evaluation of emerging tools
S Fritah, SP Niclou, F Azuaje
Rna 20 (11), 1655-1665, 2014
Molecular crosstalk between tumour and brain parenchyma instructs histopathological features in glioblastoma
S Bougnaud, A Golebiewska, A Oudin, O Keunen, PN Harter, L Mäder, ...
Oncotarget 7 (22), 31955, 2016
Witten ih, frank e: Data mining: Practical machine learning tools and techniques 2nd edition
F Azuaje
BioMedical Engineering OnLine 5 (1), 1-2, 2006
An integrated tool for microarray data clustering and cluster validity assessment
N Bolshakova, F Azuaje, P Cunningham
Proceedings of the 2004 ACM symposium on Applied computing, 133-137, 2004
A knowledge-driven approach to cluster validity assessment
N Bolshakova, F Azuaje, P Cunningham
Bioinformatics 21 (10), 2546-2547, 2005
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