AlzbetaG/Metabol: The statistical analysis of metabolomic data

The package of preprocessing (quality control treatment, zero imputation) and statistical analysis of metabolomic data sets made by logratio methodology. Also comparison with the other transformations/scalings (log, ln, PQN, no transformation, ln(PQN),Pareto scaling) is possible. In graphical part multivariate (PCA, PLS-DA, VIP plots, OPLS-DA, cluster analysis) and univariate (boxplots, ROC curves, volcano plots) analyses are done.

Getting started

Package details

AuthorAlzbeta Gardlo, David Friedecky, Karel Hron, Lukas Najdekr, Radana Karlikova, Tomas Adam
MaintainerAlzbeta Gardlo <alzbeta.gardlo@gmail.com>
LicenseGPL-2
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AlzbetaG/Metabol")
AlzbetaG/Metabol documentation built on May 31, 2019, 12:39 a.m.