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Diffstat (limited to 'gnu/packages/bioconductor.scm')
-rw-r--r-- | gnu/packages/bioconductor.scm | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index cf7e1c07ac..d27ccce6c2 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -22757,6 +22757,30 @@ Functions are also provided to enable smooth interoperability of multiple Python environments in a single R session.") (license license:gpl3))) +(define-public r-bayesknockdown + (package + (name "r-bayesknockdown") + (version "1.28.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "BayesKnockdown" version)) + (sha256 + (base32 "1argd4gfld2yb0vvpgb5k7m6agmi58712f6g5dj4gnb7kg4rp1l8")))) + (properties `((upstream-name . "BayesKnockdown"))) + (build-system r-build-system) + (propagated-inputs (list r-biobase)) + (home-page "https://bioconductor.org/packages/BayesKnockdown") + (synopsis "Posterior probabilities for edges from knockdown data") + (description + "This package provides 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. It can also be used for differential expression/2-class data.") + (license license:gpl3))) + (define-public r-biocthis (package (name "r-biocthis") |