gnu: Add r-bayesspace.
* gnu/packages/bioconductor.scm (r-bayesspace): New variable. Change-Id: Id9c0d23e209bafea5941a1e1f968fab5f1724eab
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@ -22781,6 +22781,53 @@ variable is the knocked-down gene, while the other genes are potential
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targets. It can also be used for differential expression/2-class data.")
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(license license:gpl3)))
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(define-public r-bayesspace
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(package
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(name "r-bayesspace")
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(version "1.12.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "BayesSpace" version))
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(sha256
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(base32 "1mqgsylnrvf197cin5zzihjv31bm2q0m5a612ncbglys6n1jd105"))))
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(properties `((upstream-name . "BayesSpace")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-assertthat
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r-biocfilecache
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r-biocsingular
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r-coda
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r-dirichletreg
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r-ggplot2
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r-matrix
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r-mclust
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r-purrr
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r-rcpp
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r-rcpparmadillo
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r-rcppdist
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r-rcppprogress
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r-rcurl
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r-rhdf5
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r-s4vectors
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r-scales
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r-scater
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r-scran
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r-singlecellexperiment
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r-summarizedexperiment
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r-xgboost))
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(native-inputs (list r-knitr))
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(home-page "https://www.ezstatconsulting.com/BayesSpace/")
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(synopsis "Clustering and resolution enhancement of spatial transcriptomes")
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(description
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"This package provides tools for clustering and enhancing the resolution
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of spatial gene expression experiments. BayesSpace clusters a low-dimensional
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representation of the gene expression matrix, incorporating a spatial prior to
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encourage neighboring spots to cluster together. The method can enhance the
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resolution of the low-dimensional representation into \"sub-spots\", for which
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features such as gene expression or cell type composition can be imputed.")
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(license license:expat)))
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(define-public r-biocthis
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(package
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(name "r-biocthis")
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