Showing 5 open source projects for "rpy2"

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  • 1

    KS Workbench

    a set of scripts that helps you analyze physiology datasets

    ...The following modules are the minimum requirements: - Scipy (including numpy, matplotlib) - h5py In addition, following modules are required in order to fully make use of KS Workbench: - scikit-learn (for some fitting algorithms) - rpy2 (for some statistical analyses)
    Downloads: 0 This Week
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  • 2

    EpiMINE

    program for mining epigenomic data

    ...It is available both in graphical user interface and in command line form. It can be executed in Mac and Linux platforms. Dependencies: python >= 2.7 version python packages: rpy2(v2.8.1), pysam(>0.8.4), pybedtools(v0.7.7) and wxpython (only for GUI form) R with following packages: gplots, ggplot2, RColorBrewer, FactoMineR, kernlab, bnlearn, igraph, fastcluster, caret and ROCR bedtools (2.16/2.17/2.25) Manual & different forms of EpiMINE can be downloaded is available under "Browse Files" section For any help, you can reach us at epimine.help@gmail.com
    Downloads: 2 This Week
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  • 3
    BayesRate

    BayesRate

    Bayesian estimation of diversification rates

    BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175.
    Downloads: 0 This Week
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  • 4
    RPy (R from Python)
    RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions). RPy has been superseded by the RPy2 project: https://rpy2.github.io/
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    Downloads: 8 This Week
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  • 5
    Provides a graphical user interface to the xcms module for R used primarily for processing mass spectrometry data. The primary python modules used are PyQt4, matplotlib, rpy2, and pytables for HDF5 support.
    Downloads: 1 This Week
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