recipe bioconductor-sdams

Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data

Homepage:

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

License:

GPL

Recipe:

/bioconductor-sdams/meta.yaml

This Package utilizes a Semi-parametric Differential Abundance/expression analysis (SDA) method for metabolomics and proteomics data from mass spectrometry as well as single-cell RNA sequencing data. SDA is able to robustly handle non-normally distributed data and provides a clear quantification of the effect size.

package bioconductor-sdams

Versions:

1.18.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-1,  1.2.0-0

Depends:

• bioconductor-qvalue >=2.30.0,<2.31.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-trust

Required By:

Installation

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

conda install bioconductor-sdams

and update with:

conda update bioconductor-sdams

or use the docker container:

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

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

Download stats

Link to this page

Render an badge with the following MarkDown:

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