dynRT | R Documentation |
Dynamic Retention Time Based Alignment algorithm, given a similarity matrix
dynRT(S)
S |
similarity matrix |
This function align two chromatograms finding the maximum similarity among the mass spectra
list containing the matched peaks between the two chromatograms. The number represent position of the spectra in the S matrix
riccardo.romoli@unifi.it
require(gcspikelite) files <- list.files(path = paste(find.package("gcspikelite"), "data", sep = "/"),"CDF", full = TRUE) data <- peaksDataset(files[1:2], mz = seq(50, 550), rtrange = c(7.5, 8.5)) ## create settings object mfp <- xcms::MatchedFilterParam(fwhm = 10, snthresh = 5) cwt <- xcms::CentWaveParam() data <- addXCMSPeaks(files[1:2], data, settings = mfp, multipleMF = FALSE) data ## review peak picking plotChrom(data, rtrange=c(7.5, 10.5), runs=c(1:2)) ## similarity r <- ndpRT(data@peaksdata[[1]], data@peaksdata[[2]], data@peaksrt[[1]], data@peaksrt[[2]], D = 50) ## dynamic retention time based alignment algorithm v <- dynRT(S = r)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.