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SequenceEmbeddings -> Sequence<GenomicAnnotations>
Predict dense, base-by-base genomic feature classifications by passing sequence transformer embeddings through a convolutional upsampling decoder.
Problem it solves
Raw sequence embeddings lack pixel-level localized annotation capability for continuous genomic tracks.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.