Peak Probability Contrasts


[Up] [Top]

Documentation for package ‘ppc’ version 1.01

Help Pages

ppc.cv Cross-validation for PPC analysis
ppc.fdr Function to estimate False Discovery rates for peaks in PPC analysis
ppc.find.splits Function to find best discriminating split points for training data in mass spec
ppc.make.centroid.list Function to make a list of peak centroids, from a set of peaks from different spectra
ppc.make.peaklist Function to extract peaks from raw mass spec data
ppc.peak.summary Produce summary of peaks from PPC analysis
ppc.peaks Find local maxima
ppc.plot.hist Plot peak histograms from PPC analysis
ppc.plotcv Function to plot CV curves from PPC analysis
ppc.plotcvprob Function to plot CV probabilities from PPC analysis
ppc.plotfdr Function to plot FDR results from PPC analysis
ppc.predict Function to do test set prediction for the PPC method
ppc.predict.peaks A function to find centroid peaks, in a list of individual peaks
ppc.predict.peaks1 A function to find centroid peaks, in a list of individual peaks from one spectrum
ppc.predict1 Function to do a single test set prediction for the PPC method
ppc.read.peaks.batch Read in mass spec peak data, with batches
ppc.read.peaks.nobatch Read in mass spec peak data, without batches
ppc.read.raw.batch A function to read in raw protein mass spec data, with batches
ppc.read.raw.nobatch A function to read in raw protein mass spec data, with no batches
ppc.remove.beforeslash.and.suffix Remove characters efore a slash and at end
ppc.remove.suffix Function to remove the suffix from a file name
ppc.subset.and.reshape Function to subset and reshape raw mass spec data
ppc.subset.and.reshape.peakdata Function to subset and reshape mass spec peak data