This is the released version of clippda; for the devel version, see clippda.
A package for the clinical proteomic profiling data analysisBioconductor version: Release (3.21)
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>
Citation (from within R, entercitation("clippda")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clippda")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("clippda")
Details biocViews DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software Version 1.58.0 In Bioconductor since BioC 2.5 (R-2.10) (15.5 years) License GPL (>=2) Depends R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods Imports System Requirements URL http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml See More Suggests Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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