source("http://bioconductor.org/biocLite.R")
biocLite("clippda")

clippda

A package for the clinical proteomic profiling data analysis

Bioconductor version: 2.13

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>

Installation

To install this package, start R and enter:

source("http://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	Bioinformatics, DataPreprocessing, DifferentialExpression, MultipleComparisons, OneChannel, Proteomics, SampleSize, Software
Version	1.12.0
In Bioconductor since	BioC 2.5 (R-2.10)
License	GPL (>=2)
Depends	R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods
Imports
Suggests
System Requirements
URL	http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	clippda_1.12.0.tar.gz
Windows Binary	clippda_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	clippda_1.12.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats