clippda

A package for the clinical proteomic profiling data analysis

Bioconductor version: 2.8

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")

To cite this package in a publication, start R and enter:

    citation("clippda")

Documentation

PDF R Script Sample Size Calculation
PDF   Reference Manual

Details

biocViews Proteomics, OneChannel, DataPreprocessing, Bioinformatics, DifferentialExpression, MultipleComparisons, SampleSize
Depends R (>= 2.10.0), limma, statmod, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods
Imports
Suggests
System Requirements
License GPL (>=2)
URL http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
Depends On Me
Imports Me
Suggests Me
Version 1.2.0
Since Bioconductor 2.5 (R-2.10)

Package Downloads

Package Source clippda_1.2.0.tar.gz
Windows Binary clippda_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary clippda_1.2.0.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:

 

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center