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BioMaLL is a C++ library for efficient implementation of machine learning algorithms for bioinformatics applications. The library comes with a number of algorithms included and packaged for ready application to bioinformatics data, including: neural networks
decision trees linear discriminant functions principal components analysis multivariate regression bayesian networks simulated annealing genetic algorithms naive bayes classifiers logistic regression k-nearest neighbors This list will grow as we extend the library. The programs in the library have a common interface, allowing very rapid comparison of different algorithms on the same data set. All implementations are highly efficient. BioMaLL evolved out of the earlier TAIL library (TIGR's Artificial Intelligence Library). For comments, questions, or suggestions, email Bill Majoros (bmajoros@duke.edu). |
