recipe bioconductor-ctsge

Clustering of Time Series Gene Expression data

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/ctsGE.html

License:

GPL-2

Recipe:

/bioconductor-ctsge/meta.yaml

Links:

biotools: ctsge, doi: 10.1093/bioinformatics/btx116

Methodology for supervised clustering of potentially many predictor variables, such as genes etc., in time series datasets Provides functions that help the user assigning genes to predefined set of model profiles.

package bioconductor-ctsge

(downloads) docker_bioconductor-ctsge

versions:
1.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-0

1.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-11.10.0-01.8.1-01.8.0-01.6.1-01.4.0-0

depends bioconductor-limma:

>=3.58.0,<3.59.0

depends r-base:

>=4.3,<4.4.0a0

depends r-ccapp:

depends r-ggplot2:

depends r-reshape2:

depends r-shiny:

depends r-stringr:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-ctsge

and update with::

   mamba update bioconductor-ctsge

To create a new environment, run:

mamba create --name myenvname bioconductor-ctsge

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

(see `bioconductor-ctsge/tags`_ for valid values for ``<tag>``)

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