Wisteria unifies multi-scale feature learning in a Mamba-based DNA language model via gated convolutions, MLPs, and Fourier attention, showing strong benchmark performance on genomic tasks with short and long-range dependencies.
Developmental enhancers and chromo- some topology.Science, 361(6409):1341–1345
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Wisteria: A Unified Multi-Scale Feature Learning Framework for DNA Language Model
Wisteria unifies multi-scale feature learning in a Mamba-based DNA language model via gated convolutions, MLPs, and Fourier attention, showing strong benchmark performance on genomic tasks with short and long-range dependencies.