MOCO-GCN

The datasets includes 107 metagenomic samples from Spanish and 76 samples from German based on fecal microbial species. Missing values in the German metadata were imputed using the missForest algorithm, a random forest-based method for missing data imputation. The imputation process involved the construction of 100 trees to accurately estimate and fill in the missing values. Of these, every metadata was able to be defined as a binary variable with a positive and negative class, for example, alcohol was considered positive for drinkers and negative for non-drinkers.