Bioconductor version: 2.10
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")
R Script | Sample Size Calculation | |
Reference Manual |
biocViews | DataPreprocessing,Bioinformatics,DifferentialExpression, MultipleComparisons, OneChannel, Proteomics, SampleSize, Software |
Depends | R (>= 2.13.1),limma, statmod, rgl, lattice, 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 | 1.6.0 |
Since | Bioconductor 2.5 (R-2.10) |
Package Source | clippda_1.6.0.tar.gz |
Windows Binary | clippda_1.6.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) binary | clippda_1.6.0.tgz |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!