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ktspair (version 1.0)

k-Top Scoring Pairs for Microarray Classification

Description

These functions compute the k best pairs of genes used to classify samples based on the relative rank of the genes expression within each profile. A score based on the sensitivity and the specificity is calculated for every possible pair. The k pairs with the highest score will be selected with the restriction that a gene can appear in at most one pair. The value of k is either set as a parameter chosen by the user or computed through crossvalidation. Other functions related to the k-TSP are also available, for example the functions prediction, summary, plot, etc. can be found in the package.

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Version

Install

install.packages('ktspair')

Monthly Downloads

4

Version

1.0

License

GPL-2

Maintainer

Julien Damond

Last Published

December 23rd, 2011

Functions in ktspair (1.0)

ktspcalc2

The k-TSP with chosen pairs of genes
ktspair-package

Computation of the k-TSP
plot.ktsp

Graphical representation of ktsp objects
ROC.offset

ROC curve based on the offset method for k-TSP method
dat

Simulated gene expressions of individuals.
print.ktsp

Print the results of the k-TSP
ktspdata

Simulated dataset of gene expressions in a matrix form.
eSet

Simulated gene expressions of individuals.
ordertsp

Ordering of the pairs of genes
bootstrap.graphic.ktsp

Graphical display of the bootstrap procedure
cv

Crossvalidation for the parameter k
summary.ktsp

Summary of ktsp object
ROC.voting

ROC curve based on the voting system for k-TSP method
ktspcalc

Compute the k top scoring pairs based on a gene expression matrix and a group indicator vector.
ROC.graphic.ktsp

Graphical display of the ROC curve
cv2

Crossvalidation with chosen pairs of genes
AUC.calc

Compute the AUC
make.consecutive.int

Transform the group vector into a binary vector
ktspplot

Graphical representation of ktsp objects
bootstrap.ktsp

Bootstrap procedure for the k-TSP
rank_na

Rank the gene expression and Replace NA
kts.pair

Calculation of the k top scoring pairs.
predict.ktsp

Prediction using a ktsp object
grp

Group of the individuals.