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.
Predicting rna-seq coverage from dna sequence as a unifying model of gene regulation.Nature Genetics, 57:949–961
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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.