Publications

 

Massa, M.S., Riccomagno, E. (2016). Algebraic representation of Gaussian Markov combinations. Bernoulli (accepted for publication)

 

Massa, M.S., Wang, N., Bickerton, W-L., Demeyere, N., Riddoch, M.J. & Humphreys, G.W. (2015). On the importance of cognitive profiling: a graphical modelling analysis of domain-specific and domain-general deficits after stroke. Cortex, 71, 190-204.

 

Djordjilovic, V., Chiogna, M., Massa, M.S., Romualdi, C. (2015). Graphical modelling for gene set analysis: a critical appraisal. Biometrical Journal, 57 (5), 852-866 

 

Martini, P., Sales, G., Massa, M.S., Chiogna, M., Romualdi, C. (2013). Along signal paths: an empirical gene set approach. Nucleic Acids research, 41(1), e19.

DOI: 10.1093/nar/gks866.

 

Massa, M.S., Chiogna, M. (2013). Effectiveness of combinations of Gaussian graphical models for model building. Journal of Statistical Computation and Simulation, 83(9), 1602-1612.

DOI: 10.1080/00949655.2012.667216. 

 

Massa, M.S., Sales, G. (2011). TopologyGSA: Gene Set Analysis Exploiting Pathway Topology. R package version 1.4.4

 

Massa, M.S., Chiogna, M., Romualdi, C. (2010). Gene set analysis exploiting the topology of a pathway. BMC Systems Biology, 4:121

 

Massa, M.S., Lauritzen, S.L. (2010). Combining statistical models. In Algebraic Methods in Statistics and Probability II, Contemporary Mathematics Series, vol. 516, American Mathematical Society, Providence, RI, pp. 239-259.

 

Massa, M.S., Chiogna, M., Romualdi, C. (2010). A graphical models approach to compare gene sets. In Complex Data Modeling and Computationally Intensive Statistical Methods, Contribution to Statistics Series (P. Mantovan and P. Secchi Eds.), Springer, pp. 115-122.

 

Massa, M.S (2010). Numerical studies on covariance selection problems. Proceedings of the 45th Scientific Meeting of the Italian Statistical Society, June 16-18, 2010, Padua, pp. 1-8.

 

Risso, D., Massa, M.S., Chiogna, M., Romualdi, C. (2009). A modified LOESS normalisation applied to microRNA arrays: a comparative evaluation. Bioinformatics, 25, 2685 2691,

doi:10.1093/bioinformatics/btp443

 

Chiogna, M., Massa, M.S., Risso, D., Romualdi, C. (2009). A comparison on effects of normalisations in the detection of differentially expressed genes. BMC Bioinformatics, 10:61,

doi:10.1186/1471-2105-10-61

 

Massa, M.S., Chiogna, M., Romualdi, C. (2009). A graphical models approach for comparing gene sets. Proceedings of S.Co.2009 "Complex data modeling and computationally intensive statistical methods for estimation and prediction", Politecnico di Milano, 14-16 settembre 2009, pp.281-286, Maggioli Editore.

ISBN 978-88387-4385-1.

 

Massa, M.S., Lauritzen, S.L. (2007). Combining information from Gaussian Graphical Models: a missing data perspective. Book of Short Papers S.Co.2007 "Complex Models and Computational Intensive Methods for Estimation and Prediction", Venezia, 6-8 settembre 2007, pp 320-325, Cleup Editore.

ISBN 978-88-6129-114-0.