This has been a really fun one! challenging the wisdom that one needs a lot of data to do ML guided biodesign. In fact, if you have to choose, think about getting HQ small-N data aligned w your endpoint, vs HT proxy data. low-N ML now helps you succeed w the former!https://twitter.com/grigonomics/status/1220768850834284544 …
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Thanks for reading Andrew! Surprising for us too! Definitely curious to hear more thoughts on that finding if you have them
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I do! Let me write them up. I’ll dm you
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- a framework for low-N protein engineering with data-efficient deep learning! Had a blast working with brilliant