Description Usage Arguments Details Value See Also Examples
The findChromPeaks_cwp function performs the chromatographic peak detection on LC/GC-MS data. The standard method for peak detection is 'CentWave'. Peak detection aims to detect important features (peaks) on the chromatographic axis. This will be useful for a posterior peak alignment on the chormatophic axis.
1 | find_peaks_cwp(dataset, params)
|
dataset |
A lcms_dataset. |
params |
A converted parameters template from IPO parameters. |
Note: signal processing generally consists in three main steps: (1) peak
detection (lcms_find_chromp_peaks_cwp
function), (2) peak alignment
(obiAdjust_Rtime
function) and (3) peak correspondence (IPO_group_peaks
function). The optimized set of parameters for this signal preprocessing can
be obatained from IPO
Package.
A lcms_dataset with the detected peaks added.
Other dataset functions:
IPO_group_peaks()
,
lcms_dataset_load()
,
lcms_dataset_save()
,
lcms_fill_chrom_peaks()
,
lcms_filter_mz()
,
lcms_filter_polarity()
,
lcms_filter_rt_min()
,
lcms_filter_sample_type()
,
lcms_meta_add()
,
lcms_meta_export()
,
lcms_plot_chrom_peak_image()
,
lcms_plot_tics()
,
lcms_rearrange_datafiles_by_class()
,
lcms_retention_time_alignment_plot()
,
lcms_tics()
,
obiAdjust_Rtime()
,
peakpicking_optimization()
,
phData()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ## Not run:
file_path <- system.file("extdata", "rearrange_mait", package = "AlpsLCMS")
samples_mzxml <- list.files(file_path, recursive = TRUE, full.names = TRUE)
meta_path <- system.file("extdata", "metadata.xlsx", package = "AlpsLCMS")
opt_result_path <- system.file("extdata", package = "AlpsLCMS")
preproc_params <- lcms_read_ipo_to_xcms(opt_result_path)
dataset <- suppressWarnings(lcms_read_samples(samples_mzxml, mode = "onDisk"))
metadata <- lcms_meta_read(meta_path)
dataset_meta <- lcms_meta_add(dataset, metadata, by = "sampleNames")
peakdet <- find_peaks_cwp(dataset_meta, params = preproc_params)
print(peakdet)
## End(Not run)
|
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