- recipe bioconductor-methylimp2
Missing value estimation of DNA methylation data
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/methyLImp2.html
- License:
GPL-3
- Recipe:
This package allows to estimate missing values in DNA methylation data. methyLImp method is based on linear regression since methylation levels show a high degree of inter-sample correlation. Implementation is parallelised over chromosomes since probes on different chromosomes are usually independent. Mini-batch approach to reduce the runtime in case of large number of samples is available.
- package bioconductor-methylimp2¶
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-methylimp2 and update with:: mamba update bioconductor-methylimp2
To create a new environment, run:
mamba create --name myenvname bioconductor-methylimp2
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-methylimp2:<tag> (see `bioconductor-methylimp2/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-methylimp2/README.html)