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.
Package details |
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Bioconductor views | MassSpectrometry Metabolomics Normalization Preprocessing Proteomics ReportWriting Software StatisticalMethod Visualization |
Maintainer | |
License | GPL-3 |
Version | 1.5.16 |
URL | https://github.com/pcastellanoescuder/POMA |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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