recipe bioconductor-awst

Asymmetric Within-Sample Transformation

Homepage:

https://bioconductor.org/packages/3.16/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:

1.6.0-01.2.0-01.0.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-awst

and update with:

conda update bioconductor-awst

or 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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