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@ -4724,6 +4724,37 @@ array-like objects like @code{DataFrame} objects (typically with Rle columns),
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@code{Matrix} objects, and ordinary arrays and data frames.")
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(license license:artistic2.0)))
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(define-public r-densvis
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(package
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(name "r-densvis")
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(version "1.10.0")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "densvis" version))
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(sha256
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(base32
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"0dwdlz2mvlkfa9x0x58lymfcaq00z35sliiac24l0kdg5chm35a8"))))
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(properties `((upstream-name . "densvis")))
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(build-system r-build-system)
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(propagated-inputs (list r-assertthat r-basilisk r-irlba r-rcpp
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r-reticulate))
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(native-inputs (list r-knitr))
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(home-page "https://bioconductor.org/packages/densvis")
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(synopsis
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"Density-preserving data visualization via non-linear dimensionality reduction")
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(description
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"This package implements the density-preserving modification to t-SNE and
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UMAP described by Narayan et al. (2020) <doi:10.1101/2020.05.12.077776>.
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den-SNE and densMAP aim to enable more accurate visual interpretation of
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high-dimensional datasets by producing lower-dimensional embeddings that
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accurately represent the heterogeneity of the original high-dimensional space,
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enabling the identification of homogeneous and heterogeneous cell states.
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This accuracy is accomplished by including in the optimisation process a term
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which considers the local density of points in the original high-dimensional
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space. This can help to create visualisations that are more representative of
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heterogeneity in the original high-dimensional space.")
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(license license:expat)))
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(define-public r-derfinderhelper
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(package
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(name "r-derfinderhelper")
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