## Description ## Supplemental materials for ***Cohort-mean measured macromolecules lead to more robust linear-combination modeling than subject-specific or parameterized ones*** by Zöllner et al. 2022. It contains the following folders: - code - MATLAB - R - data - raw figures - figures - statistics ---------- The `code` folder contains subfolders with MATLAB analysis functions and the R plot scripts. All figures and analysis steps can be reproduced with the scripts and are based on the PCC_proc.mat Osprey container file. All results are stored as Osprey tsv data files in the `data` folder. Including metabolite estimates, QC results, calculated AIC values, R datafiles with all results, Osprey container files as well as an age and sex statisitics file. The resulting raw figures, figures, and statistics are stored in the `raw figures`, `figures`, and `statistics` folder, respectively. ---------- More information about the R functions can be found on the GitHub repository https://github.com/hezoe100/SpecVis. If you make use of these materials, please cite ***Cohort-mean measured macromolecules lead to more robust linear-combination modeling than subject-specific or parameterized ones*** by Zöllner et al. 2022. More information about Osprey can be found on https://github.com/schorschinho/osprey .