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A package for the clinical proteomic profiling data analysis

Bioconductor version: Release (3.18)

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 bham.ac.uk>

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


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.


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

Sample Size Calculation PDF R Script
Reference Manual PDF


biocViews DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software
Version 1.52.0
In Bioconductor since BioC 2.5 (R-2.10) (14.5 years)
License GPL (>=2)
Depends R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods
System Requirements
URL http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
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Source Package clippda_1.52.0.tar.gz
Windows Binary clippda_1.52.0.zip (64-bit only)
macOS Binary (x86_64) clippda_1.52.0.tgz
macOS Binary (arm64) clippda_1.52.0.tgz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/clippda
Bioc Package Browser https://code.bioconductor.org/browse/clippda/
Package Short Url https://bioconductor.org/packages/clippda/
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