To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("sigPathway")

In most cases, you don't need to download the package archive at all.

sigPathway

DOI: 10.18129/B9.bioc.sigPathway    

Pathway Analysis

Bioconductor version: Release (3.5)

Conducts pathway analysis by calculating the NT_k and NE_k statistics as described in Tian et al. (2005)

Author: Weil Lai (optimized R and C code), Lu Tian and Peter Park (algorithm development and initial R code)

Maintainer: Weil Lai <wlai at alum.mit.edu>

Citation (from within R, enter citation("sigPathway")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("sigPathway")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("sigPathway")

 

PDF R Script sigPathway
PDF   Reference Manual

Details

biocViews DifferentialExpression, MultipleComparison, Software
Version 1.44.1
In Bioconductor since BioC 1.9 (R-2.4) (11 years)
License GPL-2
Depends R (>= 2.10)
Imports
LinkingTo
Suggests hgu133a.db(>= 1.10.0), XML (>= 1.6-3), AnnotationDbi(>= 1.3.12)
SystemRequirements
Enhances
URL http://www.pnas.org/cgi/doi/10.1073/pnas.0506577102 http://www.chip.org/~ppark/Supplements/PNAS05.html
Depends On Me tRanslatome
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package sigPathway_1.44.1.tar.gz
Windows Binary sigPathway_1.44.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) sigPathway_1.44.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/sigPathway
Package Short Url http://bioconductor.org/packages/sigPathway/
Package Downloads Report Download Stats

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