2 citations · 2 across the 3 of their papers we have counts for
3 papers
Kernel-Based Evaluation of Conditional Biological Sequence Models
Pierre Glaser, Steffanie Paul, Alissa M. Hummer +3
We propose a set of kernel-based tools to evaluate the designs and tune the hyperparameters of conditional sequence models, with a focus on problems in computational biology. The b…
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
Ruben Weitzman, Peter Mørch Groth, Lood Van Niekerk +4
Retrieving homologous protein sequences is essential for a broad range of protein modeling tasks such as fitness prediction, protein design, structure modeling, and protein-protein…
Biological Sequence Kernels with Guaranteed Flexibility
Alan Nawzad Amin, Eli Nathan Weinstein, Debora Susan Marks
Applying machine learning to biological sequences - DNA, RNA and protein - has enormous potential to advance human health, environmental sustainability, and fundamental biological…