I recently read your paper “Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences”, I was very impressed by the work done, and I am sure that melonnPan is a pivotal resource in the field of microbiome modeling. Being interested in it for my work, after reading the documentation and the tutorial, I decided to try obtaining some predictions with it. I was wondering if you could have time to help me with a couple of questions (or redirect me to whom to ask).
- In melonnpan.train what is exactly the train.metag input? I could not fully understand from the function description
- To obtain predictions with a previously trained model (different from the default one and obtained using melonnpan.train) is it enough to input a new weight matrix obtained using the melonnpan.train function?