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Showing content from https://www.bioconductor.org/packages/devel/data/experiment/html/DAPARdata.html below:

Bioconductor - DAPARdata (development version)

This is the development version of DAPARdata; for the stable release version, see DAPARdata.

Bioconductor version: Development (3.22)

Mass-spectrometry based UPS proteomics data sets from Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94 and Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32.

Author: Samuel Wieczorek [cre,aut], Thomas Burger [aut], Enora Fremy [aut]

Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DAPARdata")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DAPARdata")

Follow Installation instructions to use this package in your R session.

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