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A package for the clinical proteomic profiling data analysis

Bioconductor version: 2.14

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>

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PDF R Script Sample Size Calculation
PDF   Reference Manual


biocViews DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, SampleSize, Software
Version 1.14.0
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
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