| qPLEXanalyzer-package | R Documentation |
Tools for quantitiative proteomics data analysis generated from qPLEX-RIME method The package offers the following functionalities Data processing, normalization & analysis:
convertToMSnset: Converts quantitative data to a MSnSet
summarizeIntensities: Summarizes multiple peptide measurements
for a protein
normalizeQuantiles: Performs quantile normalization on the
peptides/proteins intensities
normalizeScaling: Performs scaling normalization on the
peptides/proteins intensities (mean, median or sum)
groupScaling: Performs scaling normalization on the
peptides/proteins intensities within group (median or mean)
rowScaling: Normalization by scaling peptide/protein intensity
across all samples
regressIntensity: Performs linear regression on protein
intensities based on selected protein
coefVar: Calculating the coefficient of variation by utilizing
expression data within individual sample groups
computeDiffStats: Compute differential statistics for the given
contrasts
getContrastResults: Get differential statistics results for
given contrast
Visualization:
assignColours: Assigns colours to samples in groups
corrPlot: Correlation plot of all the samples
coveragePlot: Computes and display protein sequence coverage of
hierarchicalPlot: Hierarchical clustering plot of all the
samples
intensityBoxplot: Intensity distribution boxplot of all the
samples
intensityPlot: Intensity distribution plot of all the samples
maVolPlot: MA or Volcano plot of differential analysis results
pcaPlot: PCA plot of all the samples
peptideIntensityPlot: Peptide intensity distribution plot of
specific protein
plotMeanVar: Computes and plots mean-variance for samples in
MSnSet
rliPlot: Relative intensity plot of all the samples
selected protein in proteomics experiment
Matthew Eldridge, Kamal Kishore, Ashley Sawle (Maintainer)
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