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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BayesKnockdown" in publications use:'
type: software
license: GPL-3.0-only
title: 'BayesKnockdown: BayesKnockdown: Posterior Probabilities for Edges from Knockdown
  Data'
version: 1.31.0
abstract: 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.
authors:
- family-names: Young
  given-names: William Chad
  email: wmchad@uw.edu
- email: wmchad@uw.edu
repository: https://bioc.r-universe.dev
date-released: '2016-06-28'
contact:
- family-names: Young
  given-names: William Chad
  email: wmchad@uw.edu
- email: wmchad@uw.edu