Prepare a readable output for LipidMS identification functions.
organizeResults(
candidates,
coelfrags,
clfrags,
classConf,
chainsComb,
intrules,
intConf,
nchains,
class,
acquisitionmode
)candidates data frame. Output of findCandidates.
list of coeluting fragments for each candidate
vector containing the expected fragments for a given lipid class.
output of checkClass
output of combineChains
character vector specifying the fragments to compare. See checkIntensityRules.
output of checkIntensityRules
number of chains of the targeted lipid class.
character value. Lipid class (i.e. PC, PE, DG, TG, etc.).
acquisition mode (DIA or DDA).
M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>
Coelution score for DIA data is calculated as the mean coelution score of all fragments used for annotation, while for DDA data, the intensity score is given, which is calculated as the sum of the relative intensities of the fragments used for annotation.