recipe bioconductor-outrider

Identification of aberrant gene expression in RNA-seq data. Read count expectations are modeled by an autoencoder to control for confounders in the data. Given these expectations, the RNA-seq read counts are assumed to follow a negative binomial distribution with a gene-specific dispersion. Outliers are then identified as read counts that significantly deviate from this distribution. Furthermore, OUTRIDER provides useful plotting functions to analyze and visualize the results.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/OUTRIDER.html

License

MIT + file LICENSE

Recipe

/bioconductor-outrider/meta.yaml

package bioconductor-outrider

(downloads) docker_bioconductor-outrider

Versions

1.0.2-0, 1.0.1-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-outrider

and update with:

conda update bioconductor-outrider

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-outrider:<tag>

(see bioconductor-outrider/tags for valid values for <tag>)