333 citations · 437 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Comparing Community Structure to Characteristics in Online Collegiate Social Networks
Amanda L. Traud, Eric D. Kelsic, Peter J. Mucha +1
We study the structure of social networks of students by examining the graphs of Facebook "friendships" at five American universities at a single point in time. We investigate each…