recipe bioconductor-bayesknockdown

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/BayesKnockdown.html

License:

GPL-3

Recipe:

/bioconductor-bayesknockdown/meta.yaml

A simple, fast Bayesian method for computing posterior probabilities for relationships between a single predictor variable and multiple potential outcome variables, incorporating prior probabilities of relationships. In the context of knockdown experiments, the predictor variable is the knocked-down gene, while the other genes are potential targets. Can also be used for differential expression/2-class data.

package bioconductor-bayesknockdown

(downloads) docker_bioconductor-bayesknockdown

Versions:

1.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-11.8.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-bayesknockdown

and update with:

conda update bioconductor-bayesknockdown

or use the docker container:

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

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

Download stats