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 <[email protected]>
LicenseGPL-3
Version1.10.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("splineTimeR")

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splineTimeR documentation built on Nov. 1, 2018, 2:39 a.m.