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splineTimeR
This is the development version of splineTimeR; for the stable release version, see splineTimeR.
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Bioconductor version: Development (3.23)
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("splineTimeR")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("splineTimeR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("splineTimeR")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.