pcastellanoescuder/POMA: Tools for Omics Data Analysis
A reproducible and easy-to-use toolkit for 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 has a Shiny app version called POMAShiny that implements all POMA functions. See https://github.com/pcastellanoescuder/POMAShiny. See Castellano-Escuder P, González-Domínguez R, Carmona-Pontaque F, et al. (2021) <doi:10.1371/journal.pcbi.1009148> for more details.
Getting started
Browse package contents
Package details |
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| Bioconductor views | BatchEffect Classification Clustering DecisionTree DimensionReduction MultidimensionalScaling Normalization Preprocessing PrincipalComponent RNASeq Regression Software StatisticalMethod Visualization |
| Maintainer | |
| License | GPL-3 |
| Version | 1.7.19 |
| 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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