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splineTimeR (version 1.0.1)

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

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.

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Version

Version

1.0.1

License

GPL-3

Maintainer

Herbert Braselmann

Last Published

February 15th, 2017

Functions in splineTimeR (1.0.1)

pathEnrich

Pathway enrichment analysis
splineNetRecon

Network reconstruction based on partial correlation method with shrinkage approach
TCsimData

Simulated time-course gene expression data set
networkProperties

Scale-free properties of a network
splinePlot

Plot spline regression curves of time-course data
splineDiffExprs

Differential expression analysis based on natural cubic spline regression models for time-course data