splineTimeR: Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Version 1.4.0

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 <braselm@helmholtz-muenchen.de>
Package repositoryView on Bioconductor
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splineTimeR documentation built on May 31, 2017, 2:43 p.m.