This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see clippda.
Bioconductor version: 3.15
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,
enter citation("clippda")
):
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.
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browseVignettes("clippda")
R Script | Sample Size Calculation | |
Reference Manual |
biocViews | DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software |
Version | 1.46.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (13 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 |
Follow Installation instructions to use this package in your R session.
Source Package | clippda_1.46.0.tar.gz |
Windows Binary | clippda_1.46.0.zip |
macOS Binary (x86_64) | clippda_1.46.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/clippda |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/clippda |
Package Short Url | https://bioconductor.org/packages/clippda/ |
Package Downloads Report | Download Stats |
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