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

Package details

Bioconductor views BatchEffect Classification Clustering DecisionTree DimensionReduction MultidimensionalScaling Normalization Preprocessing PrincipalComponent RNASeq Regression Software StatisticalMethod Visualization
URL https://github.com/pcastellanoescuder/POMA
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
pcastellanoescuder/POMA documentation built on Aug. 19, 2022, 7:59 a.m.