I find this very interesting. As a related topic, would it be possible to use deep learning to classify samples based on the quantities of pre-identified chemicals? If so, how would this work roughly? Does anybody have any ideas? Traditionally people use linear discriminant analysis, PCA, PLS, etc. I can't really wrap my head around the use of multiple neutral network layers for such problems.