Package: splineTimeR 1.33.0

Herbert Braselmann

splineTimeR: Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction

This package provides functions for differential gene expression analysis of gene expression time-course data. Natural cubic spline regression models are used. Identified genes may further be used for pathway enrichment analysis and/or the reconstruction of time dependent gene regulatory association networks.

Authors:Agata Michna

splineTimeR_1.33.0.tar.gz
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splineTimeR_1.33.0.tgz(r-4.4-any)splineTimeR_1.33.0.tgz(r-4.3-any)
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splineTimeR.pdf |splineTimeR.html
splineTimeR/json (API)
NEWS

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

Peer review:

Datasets:
  • TCsimData - Simulated time-course gene expression data set

On BioConductor:splineTimeR-1.33.0(bioc 3.20)splineTimeR-1.32.0(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

5 exports 0.82 score 55 dependencies 3 mentions

Last updated 2 months agofrom:5dfc68a1e2

Exports:networkPropertiespathEnrichsplineDiffExprssplineNetReconsplinePlot

Dependencies:annotateAnnotationDbiaskpassBiobaseBiocGenericsBiostringsbitbit64blobcachemclicorpcorcpp11crayoncurlDBIfastmapfdrtoolFIsGeneNetGenomeInfoDbGenomeInfoDbDatagluegraphGSEABasegtoolshttrigraphIRangesjsonliteKEGGRESTlatticelifecyclelimmalongitudinalmagrittrMatrixmemoisemimeopensslpkgconfigplogrpngR6rlangRSQLiteS4VectorsstatmodsysUCSC.utilsvctrsXMLxtableXVectorzlibbioc

splineTimeR

Rendered fromsplineTimeR.Rnwusingutils::Sweaveon Jun 12 2024.

Last update: 2016-10-05
Started: 2016-03-25