My research work is mainly focused on developing digital signal processing techniques to infer gene regulatory networks from gene expression data.


Journal Articles


Bosio M., Bellot P, Salembier, P., and Oliveras, A., "Gene Expression Data Classification Combining Hierarchical Representation and Efficient Feature Selection”, Journal of Biological Systems, vol. 20, pp. 349-375, 2012. 
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Conference Papers


Bellot P., Salembier P., Oliveras A. and Meyer, P., “Study of Normalization and Aggregation Approaches for Consensus Network
Estimation”, in 2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Artificial Life (2015 IEEE ALIFE), Cape Town, South Africa 2015.


 Bellot P., Meyer, P., “Efficient combination of pairwise feature networks”, in NCW2014 ECML, Nancy, France 2014.


M. Bosio, Salembier, P., Oliveras, A., and Bellot Pujalte, P., “Ensemble feature selection and hierarchical data representation for microarray classification”, in 13th IEEE International Conference on BioInformatics and BioEngineering BIBE, Chania, Crete, 2013. 
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M. Bosio, Salembier, P., Bellot Pujalte, P., and Oliveras, A., “Hierarchical Clustering Combining Numerical and Biological Similarities for Gene Expression Data Classification”, in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13) , Osaka, Japan, 2013. 


M. Bosio, Bellot Pujalte, P., Salembier, P., and Oliveras, A., “Microarray classification with hierarchical data representation and novel feature selection criteria”, in IEEE 12th International Conference on BioInformatics and BioEngineering, Larnaca, Cyprus, 2012.

M. Bosio, Bellot Pujalte, P., Salembier, P., and Oliveras, A., “Multiclass cancer microarray classification algorithm with Pair-Against-All redundancy”, in The 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’12), Washington, DC, USA, 2012.