I am a medicinal chemist (mainly wet experiment) and got interested in low data drug discovery. I read this thread, it says the method is outdated (?): https://github.com/deepchem/deepchem/issues/1021
Could anyone tell me what is the best up-to-date method for analyzing a small dataset of structure-activity relationships?
I have dataset consisting of 300-2,000 lead compound analogs with potency against various biological targets. I already tested other methods in Deepchem including graph-convolution and it seems to work well but I want to compare with one-shot learning or any updated method for low data analysis.