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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, featureselection, regression, data pre-processing, ensemble learning, voting, ...
...GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database.
Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com
DimReduction project provide an open-source multiplatform (Java) graphical environment for bioinformatics problems that supports many featureselection algorithms, pattern recognition techniques, criterion functions and graphic visualization tools.
Java GUI to analyze one (or more, in batch mode) datasets with several featureselection methods at the same time and also performing an "ensemble" analysis. It can be easily extended to include any featureselection algorithm.
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