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msmsEDA (version 1.10.0)

msmsEDA-package: Exploratory Data Analysis of label-free LC-MS/MS spectral counts

Description

Exploratory data analysis to assess the quality of a set of label-free LC-MS/MS experiments, quantified by spectral counts, and visualize de influence of the involved factors. Visualization tools to assess quality and to discover outliers and eventual confounding.

Arguments

Details

Package:
msmsEDA
Type:
Package
Version:
1.2.0
Date:
2014-01-18
License:
GPL-2

pp.msms.data
data preprocessing
gene.table
extract gene symbols from protein description
count.stats
summaries by sample
counts.pca
principal components analysis
counts.hc
hierarchical clustering of samples
norm.counts
normalization of spectral counts matrix
counts.heatmap
experiment heatmap
disp.estimates
dispersion analysis and plots
filter.flags
flag informative features
spc.barplots
sample sizes barplots
spc.boxplots
samples SpC boxplots
spc.densityplot
samples SpC density plots
spc.scatterplot
scatterplot comparing two conditions
batch.neutralize
batch effects correction

References

Gregori J, Villarreal L, Mendez O, Sanchez A, Baselga J, Villanueva J, "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.