recipe bioconductor-meb

A normalization-invariant minimum enclosing ball method to detect differentially expressed genes for RNA-seq and scRNA-seq data

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-meb/meta.yaml

This package provides a method to identify differential expression genes in the same or different species. Given that non-DE genes have some similarities in features, a scaling-free minimum enclosing ball (SFMEB) model is built to cover those non-DE genes in feature space, then those DE genes, which are enormously different from non-DE genes, being regarded as outliers and rejected outside the ball. The method on this package is described in the article 'A minimum enclosing ball method to detect differential expression genes for RNA-seq data'. The SFMEB method is extended to the scMEB method that considering two or more potential types of cells or unknown labels scRNA-seq dataset DEGs identification.

package bioconductor-meb

(downloads) docker_bioconductor-meb

versions:

1.16.0-01.14.0-01.12.0-01.8.0-01.6.0-01.4.0-11.4.0-01.2.0-01.0.0-0

depends bioconductor-edger:

>=4.0.0,<4.1.0

depends bioconductor-scater:

>=1.30.0,<1.31.0

depends bioconductor-singlecellexperiment:

>=1.24.0,<1.25.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

depends r-e1071:

depends r-wrswor:

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-meb

and update with::

   mamba update bioconductor-meb

To create a new environment, run:

mamba create --name myenvname bioconductor-meb

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-meb:<tag>

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

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