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This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see MSstatsSampleSize.

Simulation tool for optimal design of high-dimensional MS-based proteomics experiment

Bioconductor version: Release (3.18)

The packages estimates the variance in the input protein abundance data and simulates data with predefined number of biological replicates based on the variance estimation. It reports the mean predictive accuracy of the classifier and mean protein importance over multiple iterations of the simulation.

Author: Ting Huang [aut, cre], Meena Choi [aut], Olga Vitek [aut]

Maintainer: Ting Huang <thuang0703 at>

Citation (from within R, enter citation("MSstatsSampleSize")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


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


Reference Manual PDF


biocViews Classification, DifferentialExpression, ExperimentalDesign, MassSpectrometry, PrincipalComponent, Proteomics, Software, Visualization
Version 1.16.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License Artistic-2.0
Depends R (>= 3.6)
Imports ggplot2, BiocParallel, caret, gridExtra, reshape2, stats, utils, grDevices, graphics, MSstats
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Bug Reports!forum/msstats
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Suggests BiocStyle, knitr, rmarkdown, testthat
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