Ian Holmes

Nested birth-death processes are competitive with parameter-heavy neural networks as time-dependent models of protein evolution

Despite the success of large transformers at modeling variable-length protein sequences, most statistical phylogenetics analyses use relatively simple continuous-time finite-state Markov models of point substitution to describe molecular evolution, keeping sequence length fixed and ignoring insertio…