To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("sigPathway")

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

sigPathway

Pathway Analysis

Bioconductor version: 3.1

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")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("sigPathway")

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

biocViews	DifferentialExpression, MultipleComparison, Software
Version	1.36.0
In Bioconductor since	BioC 1.9 (R-2.4) (9 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

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

Package Source	sigPathway_1.36.0.tar.gz
Windows Binary	sigPathway_1.36.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	sigPathway_1.36.0.tgz
Mac OS X 10.9 (Mavericks)	sigPathway_1.36.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/sigPathway/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/sigPathway/
Package Downloads Report	Download Stats

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