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Machine learning

Avi Swartz
Harvard

Simultaneous protein coevolution and phylogeny prediction using a differentiable tree structure

Avi Swartz
Avi Swartz

Protein coevolution and phylogeny are useful properties of genes, and there exist well known algorithms to infer both. However, phylogeny influences coevolution inference and vice versa. I propose a method of inferring both at the same time to make both inferences more accurate. In order to do so, I have created a differentiable tree structure that uses a hyperbolic space embedding to smoothly infer joint phylogeny and coevolution information. In this presentation, I will describe the structure and evaluate its efficacy.