pcastellanoescuder/POMA_package: Tools for Omics Data Analysis
The POMA package offers a comprehensive toolkit designed for omics data analysis, streamlining the process from initial visualization to final statistical analysis. Its primary goal is to simplify and unify the various steps involved in omics data processing, making it more accessible and manageable within a single, intuitive R package. Emphasizing on reproducibility and user-friendliness, POMA leverages the standardized SummarizedExperiment class from Bioconductor, ensuring seamless integration and compatibility with a wide array of Bioconductor tools. This approach guarantees maximum flexibility and replicability, making POMA an essential asset for researchers handling omics datasets. See https://github.com/pcastellanoescuder/POMAShiny. Paper: Castellano-Escuder 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 | 1.17.3 |
| 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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