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Software
Below are software packages that I have developed while working in the Discovery Systems Laboratory at Vanderbilt Univeristy. |
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GEMS (Gene Expression Model Selection) is a system for automated development and valuation of high-quality cancer diagnostic models and biomarker discovery from microarray gene expression data.  |
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Causal Explorer is a library of causal discovery algorithms based on Bayesian Network learning theory for (i) learning a complete (Causal) Bayesian Network, (ii) learning a targeted portion/neighborhood of a Bayesian Network, (iii) for variable and feature selection. Causal Explorer offers a wide variety of major prototypical and state-of-the-art algorithms in the field and a unified and easy-to-learn programming interface.
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