This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see SPIA.
Bioconductor version: 3.8
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")
):
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SPIA")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SPIA")
R Script | SPIA | |
Reference Manual | ||
Text | LICENSE |
biocViews | GraphAndNetwork, Microarray, Software |
Version | 2.34.0 |
In Bioconductor since | BioC 2.4 (R-2.9) (10 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 |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SPIA_2.34.0.tar.gz |
Windows Binary | SPIA_2.34.0.zip |
Mac OS X 10.11 (El Capitan) | SPIA_2.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SPIA |
Source Repository (Developer Access) | git clone [email protected]:packages/SPIA |
Package Short Url | http://bioconductor.org/packages/SPIA/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: