recipe bioconductor-rama

Robust estimation of cDNA microarray intensities with replicates. The package uses a Bayesian hierarchical model for the robust estimation. Outliers are modeled explicitly using a t-distribution, and the model also addresses classical issues such as design effects, normalization, transformation, and nonconstant variance.

Homepage

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

License

GPL (>= 2)

Recipe

/bioconductor-rama/meta.yaml

Links

biotools: rama, doi: 10.1198/016214505000001096

package bioconductor-rama

(downloads) docker_bioconductor-rama

Versions

1.58.0-1, 1.58.0-0, 1.56.0-1, 1.56.0-0, 1.54.0-0, 1.52.0-0, 1.50.0-0

Depends
  • libgcc-ng >=7.3.0

  • r-base >=3.6,<3.7.0a0

Required By

Installation

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

conda install bioconductor-rama

and update with:

conda update bioconductor-rama

or use the docker container:

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

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