pijush1285/sigFeature: sigFeature: Significant feature selection using SVM-RFE & t-statistic
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.
Getting started
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Package details |
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| Bioconductor views | Classification FeatureExtraction GeneExpression GenePrediction Microarray Normalization SupportVectorMachine Transcription mRNAMicroarray |
| Maintainer | |
| License | GPL (>= 2) |
| Version | 1.11.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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