crossAdducts: Cross different candidates tables to remove false positives.
In maialba3/LipidMS: Lipid Annotation for LC-MS/MS DDA or DIA Data
crossAdducts R Documentation
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$rawData).
coelCutoff
coelution score threshold between parent and fragment ions.
Only applied if rawData info is supplied.
Value
Subset of the original data frame without adducts
Author(s)
M Isabel Alcoriza-Balaguer <maialba@alumni.uv.es>
maialba3/LipidMS documentation built on Sept. 6, 2024, 9:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| crossAdducts | R Documentation |
Cross different candidates tables to remove false positives.
Description
This function crosses tables of precursor candidates identified using different adducts.
Usage
crossAdducts(df1, df2, rttol, rawData, coelCutoff)
Arguments
df1 |
data frame containing identification results using the main adduct |
df2 |
data frame containing identification results using a secondary adduct |
rttol |
retention time tolerance in seconds |
rawData |
raw scans data. Output of dataProcessing function (MS1$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 <maialba@alumni.uv.es>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.