efratmuller
commented
1 month ago Hi Alicia, MintTea cannot currently handle missing values. You can either drop samples with missing values, or impute missing values using some appropriate method. For metabolomics data, for example, we sometimes use half the minimum value per metabolite as our imputation approach (see: https://www.nature.com/articles/s41598-017-19120-0 for other methods). Good luck, Efrat
Hi, before deepening MintTea, I would like to know if the function can handle NA values. My goal is to analyze a dataset with two data frames, one with the taxonomic composition of the gut microbiota and the second one with the levels of different xenobiotics measured in several biological matrices. I have NA values in the second one.