To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("tspair")
In most cases, you don't need to download the package archive at all.
tspair
|
This package is for version 2.12 of Bioconductor; for the stable, up-to-date release version, see tspair.
Top Scoring Pairs for Microarray Classification
Bioconductor version: 2.12
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.
Author: Jeffrey T. Leek <jtleek at jhu.edu>
Maintainer: Jeffrey T. Leek <jtleek at jhu.edu>
Citation (from within R,
enter citation("tspair")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("tspair")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("tspair")
| tsp1.pdf | ||
| R Script | tspTutorial | |
| Reference Manual |
Details
| biocViews | Bioinformatics, Microarray, Software |
| Version | 1.18.0 |
| In Bioconductor since | BioC 2.4 (R-2.9) (7 years) |
| License | GPL-2 |
| Depends | R (>= 2.10), Biobase(>= 2.4.0) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | stepwiseCM |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | tspair_1.18.0.tar.gz |
| Windows Binary | tspair_1.18.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | tspair_1.18.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/tspair/tree/release-2.12 |
| Package Short Url | http://bioconductor.org/packages/tspair/ |
| Package Downloads Report | Download Stats |
Documentation »
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