To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clippda")

In most cases, you don't need to download the package archive at all.

clippda

 

   

A package for the clinical proteomic profiling data analysis

Bioconductor version: Release (3.4)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("clippda")

Documentation

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

browseVignettes("clippda")

 

PDF R Script Sample Size Calculation
PDF   Reference Manual

Details

biocViews DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software
Version 1.24.0
In Bioconductor since BioC 2.5 (R-2.10) (7.5 years)
License GPL (>=2)
Depends R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source clippda_1.24.0.tar.gz
Windows Binary clippda_1.24.0.zip
Mac OS X 10.9 (Mavericks) clippda_1.24.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/clippda/tree/release-3.4
Package Short Url http://bioconductor.org/packages/clippda/
Package Downloads Report Download Stats

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