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---
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
---
---
# segment-enformer
SegmentEnformer is a segmentation model leveraging [Enformer](https://www.nature.com/articles/s41592-021-01252-x) to predict the location of several types of genomics
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
tissue-specific promoters and enhancers, and CTCF-bound sites) elements.
**Developed by:** [InstaDeep](https://huggingface.co/InstaDeepAI) |