An untargeted metabolomics workflow that scales to thousands of samples for population-based studies
This repository contains code/scripts/notebooks used to process untargeted metabolomics data at scale.
In addition to the code in this repository, Google Colab notebooks have been prepared for select batch correction and imputation methods, as well as notebooks for generating peak boundaries for use with Skyline. The links are below:
Random-forest batch correction