clippda

DOI: 10.18129/B9.bioc.clippda  

A package for the clinical proteomic profiling data analysis

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") 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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("clippda")

 

PDF	R Script	Sample Size Calculation
PDF		Reference Manual

Details

biocViews	DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software
Version	1.48.0
In Bioconductor since	BioC 2.5 (R-2.10) (13.5 years)
License	GPL (>=2)
Depends	R (>= 2.13.1), limma, statmod, rgl, lattice, scatterplot3d, graphics, grDevices, stats, utils, Biobase, tools, methods
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	clippda_1.48.0.tar.gz
Windows Binary	clippda_1.48.0.zip
macOS Binary (x86_64)	clippda_1.48.0.tgz
macOS Binary (arm64)	clippda_1.48.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/clippda
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/clippda
Bioc Package Browser	https://code.bioconductor.org/browse/clippda/
Package Short Url	https://bioconductor.org/packages/clippda/
Package Downloads Report	Download Stats