NMR peak identification (cell samples) — nmr_identify_regions_cell • AlpsNMR

Identify given regions and return a data frame with plausible assignations in cell samples.

nmr_identify_regions_cell(
  ppm_to_assign,
  num_proposed_compounds = 3,
  verbose = FALSE
)

Arguments

ppm_to_assign: A vector with the ppm regions to assign
num_proposed_compounds: set the number of proposed metabolites in HMDB_cell.
verbose: Logical value. Set it to TRUE to print additional information

Value

a data frame with plausible assignations.

See also

Other peak detection functions: Pipelines, nmr_baseline_threshold(), nmr_detect_peaks_plot_overview(), nmr_detect_peaks_plot(), nmr_detect_peaks_tune_snr(), nmr_detect_peaks(), nmr_identify_regions_blood(), nmr_identify_regions_urine(), nmr_integrate_regions()

Other peak integration functions: Pipelines, get_integration_with_metadata(), nmr_identify_regions_blood(), nmr_identify_regions_urine(), nmr_integrate_peak_positions(), nmr_integrate_regions()

Examples

# We identify regions from from the corresponding ppm storaged in a vector.
ppm_to_assign <- c(
    4.060960203, 3.048970634, 2.405935596,
    3.24146865, 0.990616851, 1.002075066, 0.955325548
)
identification <- nmr_identify_regions_cell(ppm_to_assign, num_proposed_compounds = 3)