General Information
| Description | An R package for k–Top Scoring Pairs classifier development |
| Homepage | http://www.bioconductor.org |
Publications
switchBox: an R package for k–Top Scoring Pairs classifier development
Summary
: k–Top Scoring Pairs ( kTSP ) is a classification method for prediction from high-throughput data based on a set of the paired measurements. Each of the two possible orderings of a pair of measurements (e.g. a reversal in the expression of two genes) is associated with one of two classes. The kTSP prediction rule is the aggregation of voting among such individual two-feature decision rules based on order switching. kTSP , like its predecessor, Top Scoring Pair ( TSP ), is a parameter-free classifier relying only on ranking of a small subset of features, rendering it robust to noise and potentially easy to interpret in biological terms. In contrast to TSP , kTSP has comparable accuracy to standard genomics classification techniques, including Support Vector Machines and Prediction Analysis for Microarrays. Here, we describe ‘switchBox’, an R package for kTSP -based prediction.
Availability
: The ‘switchBox’ package is freely available from Bioconductor: http://www.bioconductor.org .
Contact
: bahman@jhu.edu
Supplementary information
: Supplementary data are available at Bioinformatics online.
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