The package provides a integrated pipeline for mass spectrometry- based metabolomic and proteomics data analysis. It includes the stages peak detection, data preprocessing, normalization, missing value imputation, univariate statistical analysis, multivariate statistical analysis such as PCA and PLS-DA, metabolite identification, pathway analysis, power analysis, feature selection and modeling, data quality assessment.
|Author||Bo Wen <firstname.lastname@example.org>|
|Bioconductor views||MassSpectrometry Metabolomics QualityControl|
|Maintainer||Bo Wen <email@example.com>|
|Package repository||View on GitHub|
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