- recipe bioconductor-sdams
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data
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¶
- depends bioconductor-qvalue:
- depends bioconductor-summarizedexperiment:
- depends r-base:
- depends r-trust:
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-sdams and update with:: mamba update bioconductor-sdams
To create a new environment, run:
mamba create --name myenvname bioconductor-sdams
myenvnamebeing 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-sdams:<tag> (see `bioconductor-sdams/tags`_ for valid values for ``<tag>``)