Package: DAPAR
Type: Package
Title: Tools for the Differential Analysis of Proteins Abundance with R
Version: 1.10.4
Date: 2018-02-19
Authors@R: c(person(given = "Samuel", family = "Wieczorek",
            email = "samuel.wieczorek@cea.fr",
    role = c("aut","cre")),
            person(given = "Florence", family ="Combes",
            email = "florence.combes@cea.fr",
    role = "aut"),
            person(given = "Thomas", family ="Burger",
            email = "thomas.burger@cea.fr",
    role = "aut"),
            person(given = "Vasile-Cosmin", family ="Lazar",
            email = "vcosminlazar@gmail.com",
    role = "ctb"),
            person(given = "Alexia", family ="Dorffer",
            email = "alexia.dorffer@gmail.com",
    role = "ctb"))
Author: Samuel Wieczorek [cre,aut],
    Florence Combes [aut],
    Thomas Burger [aut],
    Cosmin Lazar [ctb],
    Alexia Dorffer [ctb]
Maintainer: Samuel Wieczorek <samuel.wieczorek@cea.fr>
Description: This package contains a collection of functions for the
    visualisation and the statistical analysis of proteomic data.
License: Artistic-2.0
VignetteBuilder: knitr
Depends: R (>= 3.4.2)
Suggests: BiocGenerics, Biobase, testthat, BiocStyle, Prostar
Imports: MSnbase, RColorBrewer,stats,preprocessCore,Cairo,png,
        lattice,reshape2,gplots,pcaMethods,ggplot2,
        limma,knitr,tmvtnorm,norm,impute, imputeLCMD, doParallel,
        parallel, foreach,grDevices, graphics, openxlsx, utils, cp4p
        (>= 0.3.5), scales, Matrix, vioplot, imp4p (>= 0.5),
        highcharter, DAPARdata (>= 1.7.1), siggenes, graph, lme4,
        readxl, clusterProfiler, dplyr, tidyr,AnnotationDbi
biocViews: Proteomics, Normalization, Preprocessing, MassSpectrometry,
        QualityControl, GO, DataImport
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2018-02-20 01:59:46 UTC; biocbuild
Built: R 3.4.3; ; 2018-02-20 04:29:46 UTC; windows
