To install this package, start R and enter:

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

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

SPIA

 

   

This is the development version of SPIA; for the stable release version, see SPIA.

Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations

Bioconductor version: Development (3.4)

This package implements the Signaling Pathway Impact Analysis (SPIA) which uses the information form a list of differentially expressed genes and their log fold changes together with signaling pathways topology, in order to identify the pathways most relevant to the condition under the study.

Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>, Purvesh Kathri <purvesh at cs.wayne.edu> and Sorin Draghici <sorin at wayne.edu>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("SPIA")

 

PDF R Script SPIA
PDF   Reference Manual

Details

biocViews GraphAndNetwork, Microarray, Software
Version 2.25.0
In Bioconductor since BioC 2.4 (R-2.9) (7.5 years)
License file LICENSE
Depends R (>= 2.14.0), graphics, KEGGgraph
Imports graphics
LinkingTo
Suggests graph, Rgraphviz, hgu133plus2.db
SystemRequirements
Enhances
URL http://bioinformatics.oxfordjournals.org/cgi/reprint/btn577v1
Depends On Me
Imports Me EnrichmentBrowser
Suggests Me graphite, KEGGgraph
Build Report  

Package Archives

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

Package Source SPIA_2.25.0.tar.gz
Windows Binary SPIA_2.25.0.zip
Mac OS X 10.9 (Mavericks) SPIA_2.25.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/SPIA
Package Short Url http://bioconductor.org/packages/SPIA/
Package Downloads Report Download Stats

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