no code implementations • 10 May 2024 • Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari Allyn-Feuer, Daniel Seaton, Stephen Young
Protein Language Models (PLMs) have emerged as performant and scalable tools for predicting the functional impact and clinical significance of protein-coding variants, but they still lag experimental accuracy.
no code implementations • 22 Aug 2023 • Jacob Deasy, Ron Schwessinger, Ferran Gonzalez, Stephen Young, Kim Branson
Sequence modelling approaches for epigenetic profile prediction have recently expanded in terms of sequence length, model size, and profile diversity.
no code implementations • 14 Dec 2021 • Meredith V. Trotter, Cuong Q. Nguyen, Stephen Young, Rob T. Woodruff, Kim M. Branson
Learning effective representations of DNA sequences using large genomic sequence corpuses may accelerate the development of models of gene regulation and function through transfer learning.