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switchBox (version 1.6.0)

Utilities to train and validate classifiers based on pair switching using the K-Top-Scoring-Pair (KTSP) algorithm.

Description

The package offer different classifiers based on comparisons of pair of features (TSP), using various decision rules (e.g., majority wins principle).

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Version

Version

1.6.0

License

GPL-2

Maintainer

Bahman Afsari

Last Published

February 15th, 2017

Functions in switchBox (1.6.0)

matTesting

Gene expression matrix for test set data
SWAP.KTSP.Statistics

Function computing TSP votes (comparisons) and combine their votes. The default is the kTSP statistics, sum of the votes.
matTraining

Gene expression matrix for training set data
switchBox-package

A package to train and apply K-Top-Scoring-Pair (KTSP) classifiers.
SWAP.Filter.Wilcoxon

Statistical feature filtering based on Wilcoxon test on the ranks of expressions.
testingGroup

Testing set phenotypes
SWAP.KTSP.Classifiy

Function to classify samples using a KTSP classifier.
KTSP.Train

Funtion for training the K-TSP classifier.
KTSP.Classifiy

Function to classify samples using a KTSP classifier.
trainingGroup

Training set phenotypes
SWAP.KTSP.Train

Function for training the K-TSP classifier.
SWAP.CalculateSignedScore

Function to calculate the pair-wise scores.