clippda
A package for the clinical proteomic profiling data analysis
Bioconductor version: 3.24 · Package version: 1.63.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clippda")Details
| Maintainer | Stephen Nyangoma <s.o.nyangoma@bham.ac.uk> |
| Author | Stephen Nyangoma |
| License | GPL (>=2) |
| URL | http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software |
| Package Short Url | https://bioconductor.org/packages/clippda/ |
Citation
From within R, enter citation("clippda"):
Stephen Nyangoma. clippda: A package for the clinical proteomic profiling data analysis. doi:10.18129/B9.bioc.clippda, R package version 1.63.0, https://bioconductor.org/packages/clippda.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | clippda_1.63.0.tar.gz |
| Windows binary (x86_64) | clippda_1.63.0.zip |
| macOS binary (arm64) | clippda_1.63.0.tgz |
| macOS binary (x86_64) | clippda_1.63.0.tgz |