Software

MATLAB® code used for the experiments reported in the paper Tools and Algorithms for Causally Interpreting Directed Edges in Maximal Ancestral Graphs.
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MATLAB® code used for the experiments reported in the paper Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs.
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MATLAB® code used for the experiments reported in the paper Towards Integrative Causal Analysis of Heterogeneous Datasets and Studies.
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MATLAB® code used for the experiments reported in the paper Learning Causal Structure From Overlapping Variable Sets (presented at AISTATS 2010).
[ Download .zip file ]

GEMS (Gene Expression Model Selector) is a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data developed at Vanderbilt University in collaboration with Dr. Ioannis Tsamardinos.
[ Visit GEMS website ]

MATLAB® and R code used for the experiments reported in the paper Structure – based variables selection for Survival Data (submitted to Bioinformatics).
[ Download .zip file ]

Mens X Machina Commons Toolbox is a MATLAB® toolbox with common functions used in other toolboxes provided by the Mens X Machina group.

Mens X Machina Probabilistic Graphical Model Toolbox is a MATLAB toolbox that aims to provide a comprehensive set of tools for Bayesian Networks and other probabilistic graphical models. Currently only local BN learning and BN skeleton learning using the MMPC algorithm is implemented. Support for full structure learning and inference will be added in future versions.