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.
Genomic benchmarks: a collection of datasets for genomic sequence classification.BMC Genomic Data, 24(1):25
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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.