(SPIA): Signaling Pathway Impact Analysis using combined evidence of pathway over-representation and unusual signaling perturbations | all4bioinformatics
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Sunday, 14 July 2013

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



Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
 source("http://bioconductor.org/biocLite.R")
biocLite("SPIA")
To cite this package in a publication, start R and enter:
    citation("SPIA")

Documentation

PDFR ScriptSPIA
PDF Reference Manual

Details

biocViewsGraphsAndNetworksMicroarraySoftware
Version2.12.0
In Bioconductor sinceBioC 2.4 (R-2.9)
LicenseGPL (>= 2)
DependsR (>= 2.14.0), graphics, KEGGgraph
Importsgraphics
SuggestsgraphRgraphvizhgu133plus2.db
System Requirements
URLhttp://bioinformatics.oxfordjournals.org/cgi/reprint/btn577v1
Depends On Me
Imports Me
Suggests MegraphiteKEGGgraph

Package Downloads

Package SourceSPIA_2.12.0.tar.gz
Windows BinarySPIA_2.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)SPIA_2.12.0.tgz
Package Downloads ReportDownload Stats

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