Statistical Learning and Visualization

The Bioinformatics Toolbox provides functions that build on the classification and statistical learning tools in the Statistics Toolbox (classify, kmeans, treefit).

These functions include inputation tools (knnimpute), support for vector machine classifiers (SVM, svmclassify, svmtrain) and K-nearest neighbor classifiers (, knnclassify).

Other functions for set up cross-validation experiments (crossvalind) and comparing the performance of different classification methods (classperf). In addition, there are tools for selecting diversity and discriminating features (randfeatures, sqtlfeatures).


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