svrNormalize: Batch correction using SVR normalization
In wenbostar/metaX: A flexible and comprehensive software for processing omics data.
svrNormalize R Documentation
Batch correction using SVR normalization
Description
Batch correction using SVR normalization
Usage
svrNormalize(para, ntop = 5, impute = TRUE, cpu = 0)
Arguments
para
A metaXpara object
ntop
Default is top 5 correlated peaks
impute
Whether do the imputation before and after normalization
cpu
The number of cpu used, default is 0 which means using all cpu.
Value
A new object of metaXpara
Author(s)
Bo Wen wenbostar@gmail.com
References
X. Shen, X. Gong, Y. Cai, Y. Guo, J. Tu, H. Li, T.Zhang,
J. Wang, F. Xue, and Z.-J. Zhu, Normalization and
Integration of Large-Scale Metabolomics Data Using Support Vector
Regression, Metabolomics, 2016, 12: 89
wenbostar/metaX documentation built on July 4, 2023, 7:50 p.m.
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| svrNormalize | R Documentation |
Batch correction using SVR normalization
Description
Batch correction using SVR normalization
Usage
svrNormalize(para, ntop = 5, impute = TRUE, cpu = 0)
Arguments
para |
A metaXpara object |
ntop |
Default is top 5 correlated peaks |
impute |
Whether do the imputation before and after normalization |
cpu |
The number of cpu used, default is 0 which means using all cpu. |
Value
A new object of metaXpara
Author(s)
Bo Wen wenbostar@gmail.com
References
X. Shen, X. Gong, Y. Cai, Y. Guo, J. Tu, H. Li, T.Zhang, J. Wang, F. Xue, and Z.-J. Zhu, Normalization and Integration of Large-Scale Metabolomics Data Using Support Vector Regression, Metabolomics, 2016, 12: 89
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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