A structured, reproducible and easy-to-use workflow for the visualization, pre-processing, exploration, and statistical analysis of omics datasets. 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 StatisticalMethod Visualization|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.