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.

AuthorAgata Michna
Date of publicationNone
MaintainerHerbert Braselmann <braselm@helmholtz-muenchen.de>
LicenseGPL-3
Version1.2.0

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Files in this package

splineTimeR/DESCRIPTION
splineTimeR/NAMESPACE
splineTimeR/R
splineTimeR/R/networkProperties.R splineTimeR/R/pathEnrich.R splineTimeR/R/splineDiffExprs.R splineTimeR/R/splineNetRecon.R splineTimeR/R/splinePlot.R
splineTimeR/build
splineTimeR/build/vignette.rds
splineTimeR/data
splineTimeR/data/TCsimData.rda
splineTimeR/data/datalist
splineTimeR/inst
splineTimeR/inst/doc
splineTimeR/inst/doc/splineTimeR.R
splineTimeR/inst/doc/splineTimeR.Rnw
splineTimeR/inst/doc/splineTimeR.pdf
splineTimeR/inst/extdata
splineTimeR/inst/extdata/c2.cp.kegg.v5.0.symbols.gmt
splineTimeR/man
splineTimeR/man/TCsimData.Rd splineTimeR/man/networkProperties.Rd splineTimeR/man/pathEnrich.Rd splineTimeR/man/splineDiffExprs.Rd splineTimeR/man/splineNetRecon.Rd splineTimeR/man/splinePlot.Rd
splineTimeR/vignettes
splineTimeR/vignettes/splineTimeR.Rnw
splineTimeR/vignettes/splineTimeR.bib

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