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SPIA

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

Bioconductor version: 3.23 · Package version: 2.64.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SPIA")

Details

MaintainerAdi Laurentiu Tarca <atarca@med.wayne.edu>
AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>, Purvesh Kathri <purvesh@cs.wayne.edu> and Sorin Draghici <sorin@wayne.edu>
Licensefile LICENSE
URLhttp://bioinformatics.oxfordjournals.org/cgi/reprint/btn577v1
Downloads rank1408
Source branchRELEASE_3_23
biocViewsGraphAndNetwork, Microarray, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSPIA_2.64.0.tar.gz
Windows binary (x86_64)SPIA_2.64.0.zip
macOS binary (arm64)SPIA_2.64.0.tgz
macOS binary (x86_64)SPIA_2.64.0.tgz
Dependencies

Depends: R (>= 2.14.0), graphics, KEGGgraph

Imports: graphics

Suggests: graph, Rgraphviz, hgu133plus2.db

Reverse dependencies

Imports Me (1): EnrichmentBrowser

Suggests Me (2): graphite, KEGGgraph