Noise_evaluate: Noise_evaluation based on Kernal density model
In xia-lab/MetaboAnalystR3.0: An R Package for Comprehensive Analysis of Metabolomics Data
Description
Usage
Arguments
Author(s)
References
Description
This functions handles the evaluation on the data noise (noise and prefilter parameters)
and the identification on the molecule weights deviation evaluation.
Usage
1
Noise_evaluate(raw_data)
Arguments
raw_data
MSnExp object, the (trimmed) data in memory produced by 'PerformDataTrimming'.
Author(s)
Zhiqiang Pang zhiqiang.pang@mail.mcgill.ca Jeff Xia jeff.xia@mcgill.ca
Mcgill University
License: GNU GPL (>= 2)
References
McLean C (2020). Autotuner: Automated parameter selection for untargeted metabolomics data processing
xia-lab/MetaboAnalystR3.0 documentation built on May 6, 2020, 11:03 p.m.
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Description Usage Arguments Author(s) References
Description
This functions handles the evaluation on the data noise (noise and prefilter parameters) and the identification on the molecule weights deviation evaluation.
Usage
1 | Noise_evaluate(raw_data)
|
Arguments
raw_data |
MSnExp object, the (trimmed) data in memory produced by 'PerformDataTrimming'. |
Author(s)
Zhiqiang Pang zhiqiang.pang@mail.mcgill.ca Jeff Xia jeff.xia@mcgill.ca Mcgill University License: GNU GPL (>= 2)
References
McLean C (2020). Autotuner: Automated parameter selection for untargeted metabolomics data processing
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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