Published July 13, 2021
| Version v2
Software
Open
Code for Effective gene expression prediction from sequence by integrating long-range interactions
Authors/Creators
- 1. DeepMind, London, UK
- 2. Calico Life Sciences, South San Francisco, USA
- 3. DeepMind, London UK & Google, Tokyo, Japan
Description
This package provides an implementation of the Enformer model and examples on running the model.
If this source code or accompanying files are helpful for your research please cite the following publication:
"Effective gene expression prediction from sequence by integrating long-range interactions"
Žiga Avsec, Vikram Agarwal, Daniel Visentin, Joseph R. Ledsam, Agnieszka Grabska-Barwinska, Kyle R. Taylor, Yannis Assael, John Jumper, Pushmeet Kohli, David R. Kelley
Please see also https://github.com/deepmind/deepmind-research/tree/master/enformer.
Files
enformer-training.ipynb
Files
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