DOI: 10.18129/B9.bioc.splineTimeR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see splineTimeR.

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

Bioconductor version: 3.16

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 <hbraselmann at online.de>, Martin Selmansberger <martin.selmansberger at helmholtz-muenchen.de>

Citation (from within R, enter citation("splineTimeR")):


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PDF R Script splineTimeR
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biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, NetworkEnrichment, NetworkInference, Regression, Software, TimeCourse
Version 1.26.0
In Bioconductor since BioC 3.3 (R-3.3) (7 years)
License GPL-3
Depends R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines, GeneNet (>= 1.2.13), longitudinal (>= 1.1.12), FIs
Suggests knitr
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package splineTimeR_1.26.0.tar.gz
Windows Binary splineTimeR_1.26.0.zip
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Bioc Package Browser https://code.bioconductor.org/browse/splineTimeR/
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