Mathys Grapotte
@grapottem.bsky.social
currently building a test bench for dl models in genomics at https://github.com/nf-core/deepmodeloptim. PostDoc at @ CRG Barcelona
Imo, one of the most interesting figures (S6.b) is buried in the supp. data.
From how I understand it, "if evo is good at predicting the next token in that sequence, then if it makes a mistake, it is likely due to an unexpected and impactful variant"
From how I understand it, "if evo is good at predicting the next token in that sequence, then if it makes a mistake, it is likely due to an unexpected and impactful variant"
November 16, 2024 at 8:46 AM
Imo, one of the most interesting figures (S6.b) is buried in the supp. data.
From how I understand it, "if evo is good at predicting the next token in that sequence, then if it makes a mistake, it is likely due to an unexpected and impactful variant"
From how I understand it, "if evo is good at predicting the next token in that sequence, then if it makes a mistake, it is likely due to an unexpected and impactful variant"