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author | Ricardo Wurmus <rekado@elephly.net> | 2019-05-31 14:40:29 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-05-31 14:40:29 +0200 |
commit | 1a24f855c8dcb61f34b1ec7390ca90e2540c53d9 (patch) | |
tree | c826ed66e6a858bb85114f742d922469de9a8761 /gnu/packages/bioconductor.scm | |
parent | 81e3de01ae2ac0e9cedc5625d25fd9b3d31e07fa (diff) | |
download | patches-1a24f855c8dcb61f34b1ec7390ca90e2540c53d9.tar patches-1a24f855c8dcb61f34b1ec7390ca90e2540c53d9.tar.gz |
gnu: Add r-birta.
* gnu/packages/bioconductor.scm (r-birta): New variable.
Diffstat (limited to 'gnu/packages/bioconductor.scm')
-rw-r--r-- | gnu/packages/bioconductor.scm | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 10a4079fea..5ffb7c4e3c 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -4577,3 +4577,32 @@ respect to the original network. It includes functions for the analysis of the introduced randomness across the switching steps and several other routines to analyse the resulting networks and their natural projections.") (license license:gpl3))) + +(define-public r-birta + (package + (name "r-birta") + (version "1.28.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "birta" version)) + (sha256 + (base32 + "12xjyvgmh4h0b7hi4qg50kcpb9003gnh2xyfgncb8l9mzvsbkxc2")))) + (build-system r-build-system) + (propagated-inputs + `(("r-biobase" ,r-biobase) + ("r-limma" ,r-limma) + ("r-mass" ,r-mass))) + (home-page "https://bioconductor.org/packages/birta") + (synopsis "Bayesian inference of regulation of transcriptional activity") + (description + "Expression levels of mRNA molecules are regulated by different +processes, comprising inhibition or activation by transcription factors and +post-transcriptional degradation by microRNAs. @dfn{birta} (Bayesian +Inference of Regulation of Transcriptional Activity) uses the regulatory +networks of transcription factors and miRNAs together with mRNA and miRNA +expression data to predict switches in regulatory activity between two +conditions. A Bayesian network is used to model the regulatory structure and +Markov-Chain-Monte-Carlo is applied to sample the activity states.") + (license license:gpl2+))) |