Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.
|Author||Josep Gregori, Alex Sanchez, and Josep Villanueva|
|Date of publication||None|
|Maintainer||Josep Gregori <email@example.com>|
batch.neutralize: Batch effects correction
counts.hc: Hierarchical clustering on an spectral counts matrix.
counts.heatmap: Heatmap of an spectral counts matrix.
counts.pca: Principal components analysis of an spectral counts matrix.
count.stats: Summary of statistics of spectral counts by sample in the...
disp.estimates: Residual dispersion estimates
filter.flags: Flag proteins with a minimum signal and/or sufficient...
gene.table: Gene symbols associated to protein accessions
msms.dataset: LC-MS/MS dataset
msmsEDA-package: Exploratory Data Analysis of label-free LC-MS/MS spectral...
norm.counts: Spectral counts matrix normalization
pnms: Accessions and gene symbols
pp.msms.data: Spectral counts matrix pre-processing
spc.barplots: Set of SpC barplots by sample
spc.boxplots: Set of SpC boxplots by sample
spc.densityplots: SpC density plots of a SpC matrix
spc.scatterplot: Scatterplot of SpC means comparing two conditions