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tspair (version 1.30.0)

Top Scoring Pairs for Microarray Classification

Description

These functions calculate the pair of genes that show the maximum difference in ranking between two user specified groups. This "top scoring pair" maximizes the average of sensitivity and specificity over all rank based classifiers using a pair of genes in the data set. The advantage of classifying samples based on only the relative rank of a pair of genes is (a) the classifiers are much simpler and often more interpretable than more complicated classification schemes and (b) if arrays can be classified using only a pair of genes, PCR based tests could be used for classification of samples. See the references for the tspcalc() function for references regarding TSP classifiers.

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Version

Version

1.30.0

License

GPL-2

Maintainer

Jeffrey T Leek

Last Published

February 15th, 2017

Functions in tspair (1.30.0)

summary.tsp

Summary of a tsp object
eSet1

A simulated expression set.
predict.tsp

Prediction based on a tsp object
plot.tsp

Graphical display of tsp objects
eSet2

A simulated expression set.
grp

A group indicator.
dat

Simulated gene expression data.
dat2

Simulated gene expression data.
ts.pair

Calculation of top scoring pairs.
tspcalc

Estimate top scoring pairs from a gene expression matrix
tspdata

Simulated gene expression data in both matrix and expression set format.
tspsig

Significance calculation for top scoring pairs
tspplot

Graphical display of tsp objects