clippda: A package for the clinical proteomic profiling data analysis

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.

Package details

AuthorStephen Nyangoma
Bioconductor views DifferentialExpression MultipleComparison OneChannel Preprocessing Proteomics
MaintainerStephen Nyangoma <>
LicenseGPL (>=2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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clippda documentation built on Nov. 8, 2020, 8:13 p.m.