recipe bioconductor-multibac

Multiomic Batch effect Correction






MultiBaC is a strategy to correct batch effects from multiomic datasets distributed across different labs or data acquisition events. MultiBaC is the first Batch effect correction algorithm that dealing with batch effect correction in multiomics datasets. MultiBaC is able to remove batch effects across different omics generated within separate batches provided that at least one common omic data type is included in all the batches considered.

package bioconductor-multibac

(downloads) docker_bioconductor-multibac



depends bioconductor-multiassayexperiment:


depends bioconductor-pcamethods:


depends bioconductor-ropls:


depends r-base:


depends r-ggplot2:

depends r-matrix:

depends r-plotrix:



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-multibac

and update with::

   mamba update bioconductor-multibac

To create a new environment, run:

mamba create --name myenvname bioconductor-multibac

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<tag>

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

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