recipe bioconductor-splinetimer

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

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/splineTimeR.html

License:

GPL-3

Recipe:

/bioconductor-splinetimer/meta.yaml

Links:

biotools: splinetimer, doi: 10.1371/journal.pone.0160791

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.

package bioconductor-splinetimer

(downloads) docker_bioconductor-splinetimer

Versions:
1.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-11.12.0-11.10.0-0

1.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-11.12.0-11.10.0-01.8.0-01.6.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-splinetimer

and update with:

conda update bioconductor-splinetimer

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-splinetimer:<tag>

(see bioconductor-splinetimer/tags for valid values for <tag>)

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