This is the released version of splineTimeR; for the devel version, see splineTimeR.
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstructionBioconductor version: Release (3.21)
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.
Author: Agata Michna
Maintainer: Herbert Braselmann <hbraselmann at online.de>, Martin Selmansberger <martin.selmansberger at helmholtz-muenchen.de>
Citation (from within R, entercitation("splineTimeR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("splineTimeR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("splineTimeR")
Details biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, NetworkEnrichment, NetworkInference, Regression, Software, TimeCourse Version 1.36.0 In Bioconductor since BioC 3.3 (R-3.3) (9 years) License GPL-3 Depends R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines, GeneNet (>= 1.2.13), longitudinal (>= 1.1.12), FIs Imports System Requirements URL See More Suggests knitr Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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