nmr_identify_regions_blood {AlpsNMR} | R Documentation |
Identify given regions and return a data frame with plausible assignations in human plasma/serum samples.
nmr_identify_regions_blood( ppm_to_assign, num_proposed_compounds = 3, verbose = FALSE )
ppm_to_assign |
A vector with the ppm regions to assign |
num_proposed_compounds |
set the number of proposed metabolites sorted by the number times reported in the HMDB: |
verbose |
Logical value. Set it to TRUE to print additional information |
a data frame with plausible assignations.
Other peak detection functions:
Pipelines
,
nmr_baseline_threshold()
,
nmr_identify_regions_cell()
,
nmr_identify_regions_urine()
,
nmr_integrate_regions()
,
regions_from_peak_table()
,
validate_nmr_dataset_peak_table()
Other peak integration functions:
Pipelines
,
computes_peak_width_ppm()
,
nmr_identify_regions_cell()
,
nmr_identify_regions_urine()
,
nmr_integrate_regions()
,
validate_nmr_dataset_peak_table()
# 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_blood (ppm_to_assign)