POMA
This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see POMA.
User-friendly Workflow for Metabolomics and Proteomics Data Analysis
Bioconductor version: 3.13
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.
Author: Pol Castellano-Escuder [aut, cre] 
, Cristina Andrés-Lacueva [aut] , Alex Sánchez-Pla [aut]
Maintainer: Pol Castellano-Escuder <polcaes at gmail.com>
citation("POMA")):
Installation
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("POMA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("POMA")| POMA EDA Example | HTML | R Script |
| POMA Normalization Methods | HTML | R Script |
| POMA Workflow | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | MassSpectrometry, Metabolomics, Normalization, Preprocessing, Proteomics, ReportWriting, Software, Visualization |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.12 (R-4.0) (3.5 years) |
| License | GPL-3 |
| Depends | R (>= 4.0) |
| Imports | broom, caret, clisymbols, ComplexHeatmap, crayon, dplyr, e1071, ggcorrplot, ggplot2, ggraph, ggrepel, glasso (>= 1.11), glmnet, impute, knitr, limma, magrittr, mixOmics, MSnbase(>= 2.12), patchwork, qpdf, randomForest, RankProd(>= 3.14), rmarkdown, tibble, tidyr, vegan |
| System Requirements | |
| URL | https://github.com/pcastellanoescuder/POMA |
| Bug Reports | https://github.com/pcastellanoescuder/POMA/issues |
See More
| Suggests | Biobase, BiocStyle, covr, plotly, tidyverse, testthat (>= 2.3.2) |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | fobitools |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | POMA_1.2.0.tar.gz |
| Windows Binary | POMA_1.2.0.zip |
| macOS 10.13 (High Sierra) | POMA_1.2.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/POMA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/POMA |
| Bioc Package Browser | https://code.bioconductor.org/browse/POMA/ |
| Package Short Url | https://bioconductor.org/packages/POMA/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.13 | Source Archive |