DOI: 10.18129/B9.bioc.clippda    

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

A package for the clinical proteomic profiling data analysis

Bioconductor version: Development (3.9)

Methods for the nalysis of data from clinical proteomic profiling studies. The focus is on the studies of human subjects, which are often observational case-control by design and have technical replicates. A method for sample size determination for planning these studies is proposed. It incorporates routines for adjusting for the expected heterogeneities and imbalances in the data and the within-sample replicate correlations.

Author: Stephen Nyangoma

Maintainer: Stephen Nyangoma <s.o.nyangoma at>

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


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("clippda", version = "3.9")

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:



PDF R Script Sample Size Calculation
PDF   Reference Manual


biocViews DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software
Version 1.33.0
In Bioconductor since BioC 2.5 (R-2.10) (9.5 years)
License GPL (>=2)
Depends R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods
Depends On Me
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Source Package clippda_1.33.0.tar.gz
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Mac OS X 10.11 (El Capitan) clippda_1.33.0.tgz
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