Bioconductor version: 2.5
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 | 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 | 1.0.0 | 
| Since | Bioconductor 2.5 (R-2.10) | 
| Package Source | clippda_1.0.0.tar.gz | 
| Windows Binary | clippda_1.0.0.zip (32- & 64-bit) | 
| MacOS 10.5 (Leopard) binary | clippda_1.0.0.tgz | 
| Package Downloads Report | Download Stats | 
 
  
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