run.peaks, extracts large peaks, combines them
into a single data frame, and writes the data frame to a file.
run.lrg.peaks(trans.method = c("shiftedlog", "glog", "none"), add.par = 0, subtract.base = FALSE, root.dir = ".", peak.dir, base.dir, lrg.dir, lrg.file = lrg_peaks.RData, overwrite = FALSE, use.par.file = FALSE, par.file = "parameters.RData", calc.all.peaks = FALSE, gengamma.quantiles = TRUE, peak.thresh = 3.798194, subs)"shiftedlog" or "glog" options for trans.methodpaste(root.dir, "/All_Peaks", sep = "")paste(root.dir, "/Baselines", sep = "")paste(root.dir, "/Large_Peaks", sep = "")TRUE, then parameters are read from par.file in directory root.dirrun.peaks,
extracts peaks which are large (see below), and creates the file
lrg.file in lrg.dir. The resulting file contains the data frame
lrg.peaks, which has columns
Center_hat |
| estimated mass of peak |
Max_hat |
| estimated intensity of peak |
Width_hat |
| estimated width of peak |
File |
| name of file the peak was extracted from, with \_peaks.RData deleted |
run.strong.peaks.
Barkauskas, D.A. et al. (2009b) Analysis of MALDI FT-ICR mass spectrometry data: A time series approach. Analytica Chimica Acta, 648:2, 207--214.
Barkauskas, D.A. et al. (2009c) Detecting glycan cancer biomarkers in serum samples using MALDI FT-ICR mass spectrometry data. Bioinformatics, 25:2, 251--257.
run.peaks, run.cluster.matrix