A structured, reproducible and easy-to-use workflow for the visualization, pre-processing, exploratory data analysis, and statistical analysis of metabolomics and proteomics data. The main aim of POMA is to enable a flexible data cleaning and statistical analysis processes in one comprehensible and user-friendly R package. This package also has a Shiny app version that implements all POMA functions. See https://github.com/pcastellanoescuder/POMAShiny.
|Bioconductor views||MassSpectrometry Metabolomics Normalization Preprocessing Proteomics ReportWriting Software Visualization|
|Package repository||View on GitHub|
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