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@ -10121,3 +10121,30 @@ longitudinal data with multiple variables, repeated measurements, and
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irregularly spaced time points. It also implements a shrinkage estimator of
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irregularly spaced time points. It also implements a shrinkage estimator of
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dynamical correlation and dynamical covariance.")
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dynamical correlation and dynamical covariance.")
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(license license:gpl3+)))
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(license license:gpl3+)))
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(define-public r-genenet
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(package
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(name "r-genenet")
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(version "1.2.13")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "GeneNet" version))
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(sha256
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(base32
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"0w52apk0nnr8nsskf26ff7ana8xiksr8wqmkjxzwhzgg7fncm61p"))))
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(properties `((upstream-name . "GeneNet")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-corpcor" ,r-corpcor)
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("r-fdrtool" ,r-fdrtool)
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("r-longitudinal" ,r-longitudinal)))
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(home-page "http://strimmerlab.org/software/genenet/")
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(synopsis "Modeling and inferring gene networks")
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(description
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"This package analyzes gene expression (time series) data with focus on
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the inference of gene networks. In particular, GeneNet implements the methods
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of Schaefer and Strimmer (2005a,b,c) and Opgen-Rhein and Strimmer (2006, 2007)
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for learning large-scale gene association networks (including assignment of
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putative directions).")
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(license license:gpl3+)))
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