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stat.ML2025
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…
stat.ML2023★ 2 cited
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…