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.
|Bioconductor views||Classification FeatureExtraction GeneExpression GenePrediction Microarray Normalization SupportVectorMachine Transcription mRNAMicroarray|
|Package repository||View on GitHub|
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