The component alignment and filtering for the samples can be found in the SI (Figure , S7, S8, and S9), showing a similar trend in information removal as the brain samples above. Overall, after clustering of the aligned liver and brain tissue samples, again a clear separation between the two groups can be found. It can also be seen that a lower number of unique components can be found compared to the number of unique features, which would be expected as features from the same compound are grouped together. An advantage of this is that compounds contribute equally to the clustering. Not all compounds have an equal number of features present in the feature list (e.g., in-source fragments, isotopes, adducts, and precursor ion), meaning that there can be an unequal contribution between compounds to the result of the clustering. This was not an issue during the showcasing of this dataset, but may need special attention, depending on the type and origin of the investigated data.