clippda

A package for the clinical proteomic profiling data analysis

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

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

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

Documentation

PDF R Script Sample Size Calculation
PDF   Reference Manual

Details

biocViews DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software
Version 1.15.1
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
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Package Downloads

Package Source clippda_1.15.1.tar.gz
Windows Binary clippda_1.15.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) clippda_1.15.1.tgz
Mac OS X 10.9 (Mavericks) clippda_1.15.1.tgz
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