
# Enformer

Enformer model. It was introduced in the paper [Effective gene expression prediction from sequence by integrating long-range interactions.](https://www.nature.com/articles/s41592-021-01252-x) by Avsec et al. and first released in [this repository](https://github.com/deepmind/deepmind-research/tree/master/enformer). 

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](https://www.nature.com/articles/s41592-021-01252-x) published in Nature for details.

### How to use

Refer to the README of [enformer-pytorch](https://github.com/lucidrains/enformer-pytorch) regarding usage.


### Citation info

```
Avsec, Å½., Agarwal, V., Visentin, D. et al. Effective gene expression prediction from sequence by integrating long-range interactions. Nat Methods 18, 1196â€“1203 (2021). https://doi.org/10.1038/s41592-021-01252-x
```

{"license": "cc-by-4.0", "inference": false}
transformers pytorch enformer license:cc-by-4.0 region:us
TAGS
#transformers #pytorch #enformer #license-cc-by-4.0 #region-us 


# 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.


info



# 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.


info
TAGS
#transformers #pytorch #enformer #license-cc-by-4.0 #region-us 
 # 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.


info
passage: TAGS
#transformers #pytorch #enformer #license-cc-by-4.0 #region-us 
# 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.


info