Package: SPIA 2.57.0

Adi Laurentiu Tarca

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

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.

Authors:Adi Laurentiu Tarca <[email protected]>, Purvesh Kathri <[email protected]> and Sorin Draghici <[email protected]>

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SPIA.pdf |SPIA.html✨
SPIA/json (API)

# Install 'SPIA' in R:
install.packages('SPIA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • ALL_Colorectal - Results from a microarray experiment comparing colorectal cancer samples and normal tissue samples.
  • ALL_Vessels - Results from a microarray expriment comparing umbilical veins and arteries tissues
  • DE_Colorectal - Results from a microarray experiment comparing colorectal cancer samples and normal tissue samples.
  • DE_Vessels - Results from a microarray expriment comparing umbilical veins and arteries tissues
  • top - Results from a microarray experiment comparing colorectal cancer samples and normal tissue samples.

On BioConductor:SPIA-2.57.0(bioc 3.20)SPIA-2.56.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

4 exports 1.75 score 7 dependencies 4 dependents 155 mentions

Last updated 2 months agofrom:40a790f734

Exports:combfuncmakeSPIAdataplotPspia

Dependencies:BiocGenericsbitopsgraphKEGGgraphRCurlRgraphvizXML

SPIA

Rendered fromSPIA.Rnwusingutils::Sweaveon Jun 15 2024.

Last update: 2013-11-01
Started: 2013-11-01