msmsEDA (version 1.10.0)

msms.dataset: LC-MS/MS dataset

Description

A MSnSet with a spectral counts matrix as expression and two factors in the phenoData. The spectral counts matrix has samples in the columns, and proteins in the rows. The factors give the treatment and batch conditions of each sample in the dataset.

Usage

data(msms.dataset)

Format

A MSnSet

References

Josep Gregori, Laura Villarreal, Olga Mendez, Alex Sanchez, Jose Baselga, Josep Villanueva, "Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics." J Proteomics. 2012 Jul 16;75(13):3938-51. doi: 10.1016/j.jprot.2012.05.005. Epub 2012 May 12.

Laurent Gatto and Kathryn S. Lilley, MSnbase - an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation, Bioinformatics 28(2), 288-289 (2012).

See Also

See MSnSet for detail on the class, and the exprs and pData accessors.

Examples

data(msms.dataset)
msms.dataset
dim(msms.dataset)
head(exprs(msms.dataset))
head(pData(msms.dataset))
table(pData(msms.dataset)$treat)
table(pData(msms.dataset)$batch)
table(pData(msms.dataset)$treat, pData(msms.dataset)$batch)