metadata
license: cc-by-4.0
inference: false
Enformer
Enformer model. It was introduced in the paper Effective gene expression prediction from sequence by integrating long-range interactions. by Avsec et al. and first released in this repository.
This repo contains the official weights released by Deepmind, ported over to Pytorch.
Model description
Enformer is a neural network architecture based on the Transformer that led to greatly increased accuracy in predicting gene expression from DNA sequence.
We refer to the paper published in Nature for details.
How to use
Refer to the README of enformer-pytorch regarding usage.
Citation info
Avsec, Ž., Agarwal, V., Visentin, D. et al. Effective gene expression prediction from sequence by integrating long-range interactions. Nat Methods 18, 1196–1203 (2021). https://doi.org/10.1038/s41592-021-01252-x