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@@ -11,6 +11,8 @@ SegmentBorzoi is a segmentation model leveraging [Borzoi](https://www.biorxiv.or
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  elements in a sequence at a single nucleotide resolution. It was trained on 14 different classes, including gene (protein-coding genes, lncRNAs, 5’UTR, 3’UTR, exon, intron, splice acceptor and donor sites) and regulatory (polyA signal, tissue-invariant and
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  tissue-specific promoters and enhancers, and CTCF-bound sites) elements.
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  **Developed by:** [InstaDeep](https://huggingface.co/InstaDeepAI)
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  elements in a sequence at a single nucleotide resolution. It was trained on 14 different classes, including gene (protein-coding genes, lncRNAs, 5’UTR, 3’UTR, exon, intron, splice acceptor and donor sites) and regulatory (polyA signal, tissue-invariant and
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  tissue-specific promoters and enhancers, and CTCF-bound sites) elements.
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+ We note that this model is based on the published implementation of Borzoi (originally in Keras). We used the [FlashZoi](https://github.com/johahi/borzoi-pytorch) implementation for the common parts to the published model for easier implementation,
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+ but changed it accordingly to the published version when needed - such as the positional embeddings in the attention layers.
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  **Developed by:** [InstaDeep](https://huggingface.co/InstaDeepAI)
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