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splineTimeR

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

Bioconductor version: 3.23 · Package version: 1.40.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("splineTimeR")

Details

MaintainerHerbert Braselmann <hbraselmann@online.de>, Martin Selmansberger <martin.selmansberger@helmholtz-muenchen.de>
AuthorAgata Michna
LicenseGPL-3
Downloads rank508
Source branchRELEASE_3_23
biocViewsDifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, NetworkEnrichment, NetworkInference, Regression, Software, TimeCourse

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagesplineTimeR_1.40.0.tar.gz
Windows binary (x86_64)splineTimeR_1.40.0.zip
macOS binary (arm64)splineTimeR_1.40.0.tgz
macOS binary (x86_64)splineTimeR_1.40.0.tgz
Dependencies

Depends: R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines, GeneNet (>= 1.2.13), longitudinal (>= 1.1.12), FIs

Suggests: knitr