333 citations · 437 across the 4 of their papers we have counts for
Showing 2020Show all
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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…
cs.LG2020★ 39 cited
AdaLead: A simple and robust adaptive greedy search algorithm for sequence design
Sam Sinai, Richard Wang, Alexander Whatley +3
Efficient design of biological sequences will have a great impact across many industrial and healthcare domains. However, discovering improved sequences requires solving a difficul…