splineTimeR: Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction

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.

Getting started

Package details

AuthorAgata Michna
Bioconductor views DifferentialExpression GeneExpression GeneSetEnrichment GraphAndNetwork NetworkEnrichment NetworkInference Regression TimeCourse
MaintainerHerbert Braselmann <hbraselmann@online.de>, Martin Selmansberger <martin.selmansberger@helmholtz-muenchen.de>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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splineTimeR documentation built on Nov. 8, 2020, 6:52 p.m.