clustering: EIC extraction based on previous partitions generated by...
In LipidMS: Lipid Annotation for LC-MS/MS DDA or DIA Data
View source: R/internalProcessing.R
clustering R Documentation
EIC extraction based on previous partitions generated by partitioning
Description
EIC extraction based on previous partitions generated by partitioning
Usage
clustering(msobject, dmzagglom, drtclust, minpeak, mslevel, cE)
Arguments
msobject
msobject generated by partitioning
dmzagglom
mz tolerance for clusters
drtclust
RT window for clusters
minpeak
minimum number of measures to define a peak
mslevel
info to access msobject
cE
info to access msobject
Value
msobject
Author(s)
M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>
References
Peak-picking algorithm has been imported from enviPick R-package:
https://cran.r-project.org/web/packages/enviPick/index.html
LipidMS documentation built on March 18, 2022, 7:14 p.m.
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View source: R/internalProcessing.R
| clustering | R Documentation |
EIC extraction based on previous partitions generated by partitioning
Description
EIC extraction based on previous partitions generated by partitioning
Usage
clustering(msobject, dmzagglom, drtclust, minpeak, mslevel, cE)
Arguments
msobject |
msobject generated by partitioning |
dmzagglom |
mz tolerance for clusters |
drtclust |
RT window for clusters |
minpeak |
minimum number of measures to define a peak |
mslevel |
info to access msobject |
cE |
info to access msobject |
Value
msobject
Author(s)
M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>
References
Peak-picking algorithm has been imported from enviPick R-package: https://cran.r-project.org/web/packages/enviPick/index.html
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.
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