Package ‘ splineTimeR ’
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March 23, 2017 Type Package Title Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction Version 1.2.0 Date 2016-10-05 Author Agata Michna Maintainer Herbert Braselmann Depends R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines, GeneNet (>= 1.2.13), longitudinal (>= 1.1.12), FIs 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. License GPL-3 biocViews GeneExpression, DifferentialExpression, TimeCourse, Regression, GeneSetEnrichment, NetworkEnrichment, NetworkInference, GraphAndNetwork VignetteBuilder knitr Suggests knitr NeedsCompilation no
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Using splineTimeR package
This free open-source software implements academic research by the authors and co-workers. If you use it, please support the project by citing the journal article referred to in the overview section.
متن کاملPackage 'splinetimer' Title Time-course Differential Gene Expression Data Analysis Using Spline Regression Models Followed by Gene Association Network Reconstruction
December 22, 2016 Type Package Title Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction Version 1.2.0 Date 2016-10-05 Author Agata Michna Maintainer Herbert Braselmann Depends R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines, GeneNet (>= 1.2.13), longitudinal (>= 1...
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Gene expression time-course experiments allow to study the dynamics of transcriptomic changes in cells exposed to different stimuli. However, most approaches for the reconstruction of gene association networks (GANs) do not propose prior-selection approaches tailored to time-course transcriptome data. Here, we present a workflow for the identification of GANs from time-course data using prior s...
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تاریخ انتشار 2017