To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("splineTimeR")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see splineTimeR.
Bioconductor version: 3.4
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 <braselm at helmholtz-muenchen.de>
Citation (from within R,
enter citation("splineTimeR")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("splineTimeR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("splineTimeR")
Follow Installation instructions to use this package in your R session.
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