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gnu: Add r-xllim.
* gnu/packages/bioconductor.scm (r-xllim): New variable. Change-Id: Ie7c6ae8885b855ca329d0955721772e125891344
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@ -14268,6 +14268,46 @@ protein-protein interaction databases and integrative resources such as
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molecular functions, respectively, and produces intuitive graphical outputs.")
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(license license:gpl3)))
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;; This is a CRAN package but it depends on r-mixomics from Bioconductor.
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(define-public r-xllim
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(package
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(name "r-xllim")
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(version "2.3")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "xLLiM" version))
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(sha256
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(base32 "08v6acn6vpn8asn61ldqdryjz0xk5zyd2v63aqrc5xximpqwrp7d"))))
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(properties `((upstream-name . "xLLiM")))
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(build-system r-build-system)
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(propagated-inputs (list r-abind
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r-capushe
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r-corpcor
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r-e1071
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r-glmnet
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r-igraph
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r-mass
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r-matrix
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r-mda
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r-mixomics
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r-progress
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r-randomforest))
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(home-page "https://cran.r-project.org/package=xLLiM")
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(synopsis "High dimensional locally-linear mapping")
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(description
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"This package provides a tool for non linear mapping (non linear
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regression) using a mixture of regression model and an inverse regression
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strategy. The methods include the GLLiM model (see Deleforge et al (2015)
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<DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust
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version of GLLiM, named SLLiM (see Perthame et al (2016)
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<DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student
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distributions. The methods also include BLLiM (see Devijver et al (2017)
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<@code{arXiv:1701.07899>}) which is an extension of GLLiM with a sparse block
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diagonal structure for large covariance matrices (particularly interesting for
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transcriptomic data).")
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(license license:gpl2+)))
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(define-public r-xmapbridge
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(package
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(name "r-xmapbridge")
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