recipe bioconductor-awst

Asymmetric Within-Sample Transformation

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-awst/meta.yaml

We propose an Asymmetric Within-Sample Transformation (AWST) to regularize RNA-seq read counts and reduce the effect of noise on the classification of samples. AWST comprises two main steps: standardization and smoothing. These steps transform gene expression data to reduce the noise of the lowly expressed features, which suffer from background effects and low signal-to-noise ratio, and the influence of the highly expressed features, which may be the result of amplification bias and other experimental artifacts.

package bioconductor-awst

(downloads) docker_bioconductor-awst

versions:

1.10.0-01.8.0-01.6.0-01.2.0-01.0.0-0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-base:

>=4.3,<4.4.0a0

requirements:

additional platforms:

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-awst

and update with::

   mamba update bioconductor-awst

To create a new environment, run:

mamba create --name myenvname bioconductor-awst

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-awst:<tag>

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

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