crossAdducts: Cross different candidates tables to remove false positives.

In LipidMS: Lipid Annotation for LC-MS/MS DDA or DIA Data

Cross different candidates tables to remove false positives.

Description

This function crosses tables of precursor candidates identified using different adducts.

Usage

crossAdducts(df1, df2, rttol, rawData, coelCutoff)

Arguments

df1	data frame containing identification results using the main adduct
df2	data frame containing identification results using a secondary adduct
rttol	retention time tolerance in seconds
rawData	raw scans data. Output of dataProcessing function (MS1$rawData).
coelCutoff	coelution score threshold between parent and fragment ions. Only applied if rawData info is supplied.

Value

Subset of the original data frame without adducts

Author(s)

M Isabel Alcoriza-Balaguer <[e-mail]>

LipidMS documentation built on May 29, 2024, 11:24 a.m.