hRUV is a package for normalisation of multiple batches of metabolomics data in a hierarchical strategy with use of samples replicates in a large-scale studies. The tool utilises 2 types of replicates: intra-batch and inter-batch replicates to estimate the unwatned variation within and between batches with RUV-III. We have designed the replicate embedding arrangements within and between batches from http://shiny.maths.usyd.edu.au/hRUV. Our novel tool is a novel hierarchical approach to removing unwanted variation by harnessing information from sample replicates embedded in the seequence of experimental runs/batches and applying signal drift correction with robust linear or non-linear smoothers.
This package has been tested for macOS Big Sur (11.1) and Linux Debian 10 (buster) with R version 4.0.3.
Install the R package from GitHub using the
If you have any enquiries, especially about performing hRUV to integrate your metabolomics data, please contact firstname.lastname@example.org. We are also happy to receive any suggestions and comments.