The dataset comes from a quantitative Liquid Chromatography/Mass-Spectrometry (LC/MS) shotgun (bottom-up) proteomics experiment. It consists of \(n=6\) independent cell cultures of human of Myeloid Dendritic Cells (MDCs) from normal subjects. Samples were split into a control ("M") and a treated group ("S"), stimulated with either media alone or a Toll-Like receptor-3 Ligand respectively. The goal was to identify differentially expressed peptides (or proteins) between the two groups involved in the immune response of human MDCs upon TLR-3 Ligand binding.
The dataset is assumed to have been pre-processed for non-ignorable missing values, leaving a complete dataset with \(p=9052\) unique peptides or predictor variables.
This is a balanced design with two sample groups (\(G=2\)), under unequal sample group variance.
RealA numeric matrix containing \(n=6\) observations (samples) by rows and \(p=9052\) variables by columns, named after peptide names (\(diffset_{1}, ..., diffset_{p}\)). Samples are balanced (\(n_{1}=3\),\(n_{2}=3\)) between the two groups ("M", "S"). Compressed Rda data file.
This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University. This project was partially funded by the National Institutes of Health (P30-CA043703).
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