Package: topologyGSA 1.5.0

Gabriele Sales

topologyGSA: Gene Set Analysis Exploiting Pathway Topology

Using Gaussian graphical models we propose a novel approach to perform pathway analysis using gene expression. Given the structure of a graph (a pathway) we introduce two statistical tests to compare the mean and the concentration matrices between two groups. Specifically, these tests can be performed on the graph and on its connected components (cliques). The package is based on the method described in Massa M.S., Chiogna M., Romualdi C. (2010) <doi:10.1186/1752-0509-4-121>.

Authors:Sofia Massa, Gabriele Sales

topologyGSA_1.5.0.tar.gz
topologyGSA_1.5.0.zip(r-4.7-any)topologyGSA_1.5.0.zip(r-4.6-any)
topologyGSA_1.5.0.tar.gz(r-4.7-any)topologyGSA_1.5.0.tar.gz(r-4.6-any)
topologyGSA_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
topologyGSA/json (API)

# Install 'topologyGSA' in R:
install.packages('topologyGSA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dag_bcell - DAG representation of the B cell receptor signaling pathway
  • y1 - Gene expression signatures in acute lymphocytic leukemia for BCR signaling pathway
  • y2 - Gene expression signatures in acute lymphocytic leukemia for BCR signaling pathway

On CRAN:

Conda:

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

1.60 score 10 scripts 401 downloads 4 mentions 5 exports 79 dependencies

Last updated from:68c5de1776. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK278
source / vignettesOK224
linux-releaseOK263
windows-develOK241
windows-releaseOK219
wasm-releaseOK139

Exports:clique.mean.testclique.var.testpathway.mean.testpathway.var.testrender.significant.cliques

Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobcachemcigarilloclicodetoolscpp11crayoncurlDBIdotCall64fastmapfieldsformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicFeaturesGenomicRangesgluegraphgRbasehttrigraphIRangesjsonliteKEGGRESTlambda.rlatticelifecyclemagrittrmapsMatrixmemoisemimemvtnormopensslpkgconfigpngqpgraphqtlR6RColorBrewerRcppRcppArmadilloRcppEigenRCurlrestfulrRgraphvizRhtslibrjsonrlangRsamtoolsRSQLitertracklayerS4VectorsSeqinfosnowspamsysvctrsviridisLiteXMLxtableXVectoryaml