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.
Deeputf: Locating transcription factor binding sites via interpretable dual-channel encoder- decoder structure.Pattern Recognition, 161:111279
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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.