Package: splineTimeR
Type: Package
Title: Time-course differential gene expression data analysis using
        spline regression models followed by gene association network
        reconstruction
Version: 1.15.0
Date: 2016-10-05
Author: Agata Michna
Maintainer: Herbert Braselmann <braselm@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: master
git_last_commit: 3831aa6
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-06
Packaged: 2019-11-07 04:01:11 UTC; biocbuild
Built: R 4.0.0; ; 2019-11-07 15:19:12 UTC; unix
