From the Dawn of Time to 2014

2014

  • Applying Association Mapping and Genomic Selection to the Dissection of Key Traits in Elite European Wheat.html | pdf | doi ]
    A. R. Bentley, M. Scutari, N. Gosman, S. Faure, F. Bedford, P. Howell, J. Cockram, G. A. Rose, T. Barber, R. Horsnell, C. Pumfrey, E. Winnie, J. Shacht, K. Beauchêne, S. Praud, A. Greenland, D. J. Balding and I. Mackay (2014).
    Theoretical and Applied Genetics, 127(12), 2619–2633.
  • Multiple Quantitative Trait Analysis Using Bayesian Networks.arXiv (preprint) | html | pdf | online supplementary material | doi ]
    M. Scutari, P. Howell, D. J. Balding and I. Mackay (2014).
    Genetics, 198(1), 129–137.
  • Crossed Linear Gaussian Bayesian Networks, Parsimonious Models.html | pdf ]
    S. Tian, M. Scutari and J.-B. Denis (2014).
    Journal de la Société Française de Statistique, 155(3), 1–21.

2013

  • Impact of Noise on Molecular Network Inference.html | pdf | doi ]
    R. Nagarajan and M. Scutari (2013).
    PLoS ONE, 8(12):e80735, 1–12.
  • On the Prior and Posterior Distributions Used in Graphical Modelling (with discussion).arXiv (preprint) | html | pdf | doi ]
    M. Scutari (2013).
    Bayesian Analysis, 8(3), 505–532. The discussion is here, here and here, and the rejoinder is here.
  • Improving the Efficiency of Genomic Selection.arXiv (preprint) | html | pdf | doi ]
    M .Scutari, I. Mackay and D. J. Balding (2013).
    Statistical Applications in Genetics and Molecular Biology, 12(4), 517–527.
  • On Identifying Significant Edges in Graphical Models of Molecular Networks.arXiv (preprint) | html | pdf | doi ]
    M. Scutari and R. Nagarajan (2013).
    Artificial Intelligence in Medicine, 57(3), 207–217. Special Issue containing selected papers from the Workshop “Probabilistic Problem Solving in Biomedicine, 13th Conference on Artificial Intelligence in Medicine (AIME'11)”, Bled (Slovenia), July 2, 2011.

2012

  • Bayesian Network Structure Learning with Permutation Tests.arXiv (preprint) | html | pdf | doi ]
    M. Scutari and A. Brogini (2012).
    Communications in Statistics–Theory & Methods, 41(16–17), 3233–3243. Special Issue “Statistics for Complex Problems: Permutation Testing Methods and Related Topics”. Proceedings of the Conference “Statistics for Complex Problems: the Multivariate Permutation Approach and Related Topics”, Padova, June 14–15, 2010.

2010

  • Functional Relationships Between Genes Associated with Differentiation Potential of Aged Myogenic Progenitors.html | pdf | doi ]
    R. Nagarajan, S. Datta, M. Scutari, M. L. Beggs, G. T. Nolen and C. A. Peterson (2010).
    Frontiers in Physiology (Systems Biology section), 1(21), 1–8.
  • Learning Bayesian Networks with the bnlearn R Package.arXiv (preprint) | html | pdf | doi ]
    M. Scutari (2010).
    Journal of Statistical Software, 35(3), 1–22.

2009

  • NATbox: a Network Analysis Toolbox in R.html | pdf | doi ]
    S. S. Chavan, M. A. Bauer, M. Scutari and R. Nagarajan (2009).
    BMC Bioinformatics, 10(Suppl 11):S14. Supplement containing the Proceedings of the 6th Annual MCBIOS Conference (Transformational Bioinformatics: Delivering Value from Genomes), Starkville (MS, USA), February 20–21, 2009.