bioconductor-sigfeature
sigFeature: Significant feature selection using SVM-RFE & t-statistic
sigFeature: Significant feature selection using SVM-RFE & t-statistic
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This package provides a novel feature selection algorithm for binary classification using support vector machine recursive feature elimination SVM-RFE and t-statistic. In this feature selection process, the selected features are differentially significant between the two classes and also they are good classifier with higher degree of classification accuracy.
Summary
sigFeature: Significant feature selection using SVM-RFE & t-statistic
Information Last Updated
Apr 22, 2025 at 15:29
License
GPL (>= 2)
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