clippda
A package for the clinical proteomic profiling data analysis
Bioconductor version: 3.24 · Package version: 1.63.0
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 |
| Downloads rank | 555 |
| Source branch | devel |
| biocViews | DifferentialExpression, MultipleComparison, OneChannel, Preprocessing, Proteomics, Software |
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 |