333 citations · 437 across the 4 of their papers we have counts for
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q-bio.QM2020★ 16 cited
A primer on model-guided exploration of fitness landscapes for biological sequence design
Sam Sinai, Eric D Kelsic
Machine learning methods are increasingly employed to address challenges faced by biologists. One area that will greatly benefit from this cross-pollination is the problem of biolo…
q-bio.QM2018★ 49 cited
Variational auto-encoding of protein sequences
Sam Sinai, Eric Kelsic, George M. Church +1
Proteins are responsible for the most diverse set of functions in biology. The ability to extract information from protein sequences and to predict the effects of mutations is extr…