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A tool for pre-processing and fusing heterogeneous datasets
Global Unified Data Modeler (GUDM) is a bioinformatics software tool used for pre-processing and integrating multiple heterogeneous datasets, collected from multi-modal sources, into an integrated dataset. This integrated dataset is supposed to be used for different types of medical analysis and unified decisions, using different machine learning approaches.
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Output allows for decisions based on CDF probabilities, top R values, or comparison of R values with randomized data. Comparisons are the believability metric of Stekel et al, or observed vs expected R at a given mean expression. Randomization is through Poisson or negative binomial distributions, or column shuffling.
Decision support tool that assesses breast cancer risk and identifies risk-reducing interventions. Includes web service implementations of established models -- BRCAPRO, Gail, Claus, BCSC Density -- for calculating breast cancer risk.