The EuroPhysiome, STEP and a roadmap for the virtual physiological human, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.13, issue.1-3, pp.2979-2999, 2008. ,
DOI : 10.1016/j.biosystems.2004.05.025
URL : https://hal.archives-ouvertes.fr/hal-00339596
Information Fusion in Biomedical Image Analysis: Combination of Data vs. Combination of Interpretations, Inf Process Med Imaging, vol.19, pp.150-161, 2005. ,
DOI : 10.1007/11505730_13
Data Combination and Feature Selection for Multi-source Forest Inventory, Photogrammetric Engineering & Remote Sensing, vol.74, issue.7, pp.869-880, 2008. ,
DOI : 10.14358/PERS.74.7.869
Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis, Medical Physics, vol.201, issue.460, pp.2945-2954, 2006. ,
DOI : 10.1118/1.1565339
A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.77-80, 2009. ,
DOI : 10.1109/ISBI.2009.5192987
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.165-168, 2011. ,
DOI : 10.1109/ISBI.2011.5872379
Gene signature of the metastatic potential of cutaneous melanoma: too much for too little?, Clinical & Experimental Metastasis, vol.52, issue.9, pp.371-387, 2010. ,
DOI : 10.1007/s10585-010-9307-2
Gene network analyses point to the importance of human tissue kallikreins in melanoma progression, BMC Medical Genomics, vol.286, issue.1, p.76, 2011. ,
DOI : 10.1074/jbc.M110.125310
Modern Techniques for Computer-Aided Melanoma Diagnosis, Melanoma in the Clinic - Diagnosis, 2011. ,
Overview of Advanced Computer Vision Systems for Skin Lesions Characterization, IEEE Transactions on Information Technology in Biomedicine, vol.13, issue.5, pp.721-733, 2009. ,
DOI : 10.1109/TITB.2009.2017529
A review of feature selection techniques in bioinformatics, Bioinformatics, vol.23, issue.19, pp.2507-2517, 2007. ,
DOI : 10.1093/bioinformatics/btm344
Random Forests, Machine Learning, pp.5-32, 2001. ,
CLASSIFICATION OF IMBALANCED DATA: A REVIEW, International Journal of Pattern Recognition and Artificial Intelligence, vol.19, issue.04, pp.687-719, 2009. ,
DOI : 10.1109/TKDE.2006.17
Classification and Regression by randomForest, pp.18-22, 2002. ,
Using Random Forest to Learn Imbalanced Data, 2004. ,
R-project.org 18. Maragoudakis, M., Maglogiannis, I.: Skin lesion diagnosis from images using novel ensemble classification techniques, 10th IEEE EMBS International Conference on Information Technology Applications in Biomedicine, 2010. ,
NCBI GEO: archive for functional genomics data sets--10 years on, Nucleic Acids Research, vol.39, issue.Database, pp.1005-1010, 2011. ,
DOI : 10.1093/nar/gkq1184
Novel Genes Associated with Malignant Melanoma but not Benign Melanocytic Lesions, Clinical Cancer Research, vol.11, issue.20, pp.7234-7242, 2005. ,
DOI : 10.1158/1078-0432.CCR-05-0683
GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor, Bioinformatics, vol.23, issue.14, pp.1846-1847, 2007. ,
DOI : 10.1093/bioinformatics/btm254
limma: Linear Models for Microarray Data, Bioinformatics and Computational Biology Solutions using R and Bioconductor, pp.397-420, 2005. ,
DOI : 10.1007/0-387-29362-0_23
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.2271
others: Bioconductor: Open software development for computational biology and bioinformatics, Genome Biology, vol.5, issue.10, p.80, 2004. ,
DOI : 10.1186/gb-2004-5-10-r80
Much Ado About Nothing, The American Statistician, vol.61, issue.1, pp.79-90, 2007. ,
DOI : 10.1198/000313007X172556
The Split-Apply-Combine Strategy for Data Analysis, Journal of Statistical Software, vol.40, issue.1, pp.1-29, 2011. ,
DOI : 10.18637/jss.v040.i01
caret: Classification and Regression Training, 2012. ,
An introduction to ROC analysis, Pattern Recognition Letters, vol.27, issue.8, pp.861-874, 2006. ,
DOI : 10.1016/j.patrec.2005.10.010
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.2144
Stable feature selection for biomarker discovery, Computational Biology and Chemistry, vol.34, issue.4, pp.215-225, 2010. ,
DOI : 10.1016/j.compbiolchem.2010.07.002
URL : http://arxiv.org/abs/1001.0887
Manual on setting up, using, and understanding random forests v3.1. pp. 10,11, 2002. ,