Nothing
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.
Package details |
|
---|---|
Author | Pijush Das Developer [aut, cre], Dr. Susanta Roychudhury User [ctb], Dr. Sucheta Tripathy User [ctb] |
Bioconductor views | Classification FeatureExtraction GeneExpression GenePrediction Microarray Normalization SupportVectorMachine Transcription mRNAMicroarray |
Maintainer | Pijush Das Developer <topijush@gmail.com> |
License | GPL |
Version | 1.8.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.