Package: splineTimeR
Type: Package
Title: Time-course differential gene expression data analysis using
        spline regression models followed by gene association network
        reconstruction
Version: 1.18.0
Date: 2020-07-16
Author: Agata Michna
Maintainer: Herbert Braselmann <hbraselmann@online.de>, Martin Selmansberger <martin.selmansberger@helmholtz-muenchen.de>
Depends: R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines,
        GeneNet (>= 1.2.13), longitudinal (>= 1.1.12), FIs
Description: 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.
License: GPL-3
biocViews: GeneExpression, DifferentialExpression, TimeCourse,
        Regression, GeneSetEnrichment, NetworkEnrichment,
        NetworkInference, GraphAndNetwork
VignetteBuilder: knitr
Suggests: knitr
NeedsCompilation: no
git_url: https://git.bioconductor.org/packages/splineTimeR
git_branch: RELEASE_3_12
git_last_commit: 5fe2f7a
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-28
Packaged: 2020-10-29 03:33:37 UTC; biocbuild
Built: R 4.0.3; ; 2020-10-29 14:00:09 UTC; windows
