4 ms·
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 chemic
by dre85 10y ago
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.
- saurabh20n 10y agoOne possibility is as an extension of the untargeted analysis: run the analysis over different kinds of samples. The output for each sample is the list of major peaks (and intensities). Use this as the "image" to train a (shallow) network. You might even get away without specifying pre-identified chemicals. Adding that list would only help.