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.method
paste(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.dir
run.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