bioconda / packages / bioconductor-bayesknockdown 1.20.0

BayesKnockdown: Posterior Probabilities for Edges from Knockdown Data


Info: This package contains files in non-standard labels.

conda install

  • noarch  v1.20.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-bayesknockdown
conda install -c bioconda/label/gcc7 bioconductor-bayesknockdown


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.

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