Sparse inverse covariance estimation with the graphical lasso, Biostatistics, vol.9, issue.3, pp.432-441, 2008. ,
Causation, Prediction, and Search, 2001. ,
The logic of counterfactuals in causal inference, J Am Stat Assoc, vol.95, pp.428-435, 2000. ,
Causal discovery from a mixture of expeirmental and observational data, Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, 1999. ,
Learning causal Bayesian network structures from experimental data, J Am Stat Assoc, vol.103, issue.482, pp.778-789, 2008. ,
Predicting causal effects in large-scale systems from observational data, Nat Methods, vol.7, pp.247-248, 2010. ,
Estimating high-dimensional intervention effects from observational data, Ann Stat, vol.37, pp.3133-3164, 2009. ,
Causal inference using graphical models with the R package pcalg, J Stat Softw, vol.47, issue.11, pp.1-26, 2012. ,
Estimating high-dimensional directed acyclic graphs with the PC-algorithm, J Mach Learn Res, vol.8, pp.613-636, 2007. ,
, Causality: Models, Reasoning and Inference, 2000.
From knockouts to networks: establishing direct cause-effect relationships through graph analysis, PLoS ONE, vol.2010, issue.5, p.12912 ,
transitive reduction: improved methods and their evaluation, BMC Syst Biol, vol.7, p.73, 2013. ,
Dialogue on reverse-engineering assessment and methods: The DREAM of high-throughput pathway inference, Ann N Y Acad Sci, vol.1115, pp.1-22, 2007. ,
Generating realistic in silico gene networks for performance assessment of reverse engineering methods, J Comput Biol, vol.16, issue.2, pp.229-239, 2009. ,
Revealing strengths and weaknesses of methods for gene network inferene, PNAS, vol.2010, issue.14, pp.6286-6291 ,
Towards a rigourous assessment of systems biology models: the DREAM3 challenges, PLoS ONE, vol.2010, issue.e9202, p.5 ,
Petri nets with fuzzy logic (PNFL): reverse engineering and parametrization, PLoS ONE, vol.2010, issue.9, p.12807 ,
Equations of state calculations by fast computing machines, J Chem Phys, vol.21, issue.6, pp.1087-1092, 1953. ,
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, pp.97-109, 1970. ,
, Non-null ranking models, vol.44, pp.114-130, 1957.
The repeated insertion model for rankings: Missing link between two subset choice models, Psychometrika, vol.69, pp.33-54, 2004. ,
Joint likelihood calculation for intervention and observational data from a Gaussian Bayesian network, 2013. ,
Weak convergence and optimal scaling of random walk Metropolis algorithms, Ann Appl Probability, vol.7, pp.110-120, 1997. ,
Learning sparse causal Gaussian networks with experimental intervention: regularization and coordinate descent, J Am Stat Assoc, vol.108, issue.501, pp.288-300, 2013. ,
Two optimal strategies for active learning of causal models from interventions, Proc. of the 6th European Workshop on Probabilistic Graphical Models, pp.123-130, 2012. ,
Submit your next manuscript to BioMed Central and take full advantage of: ? Convenient online submission ? Thorough peer review ? No space constraints or color figure charges ? Immediate publication on acceptance ? Inclusion in PubMed, CAS, Scopus and Google Scholar ? Research which is freely available for redistribution, BMC Systems Biology, vol.7, p.111, 2013. ,