Evaluation of Active Learning Selection Strategies and Characterization of Informative Sequences for Sequence-to-Expression Models
Justin Qian, Abdul Muntakim Rafi, Emmanuel Cazottes, Carl G. de Boer
This study evaluates active learning strategies for sequence-to-expression models, finding that uncertainty-based methods outperform random sampling and identify informative sequences with distinct biological features.
bioRxiv · May 26, 2026 · PreprintGenomics