Transformer-based deep learning for predicting protein properties in the life sciences
- Department of Computing Science, Umeå University, Sweden
- Umeå Plant Science Centre (UPSC), Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Sweden
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Sweden
Peer review process
This article was accepted for publication as part of eLife's original publishing model.
History
- Version of Record published
- Accepted
- Received
Download links
A two-part list of links to download the article, or parts of the article, in various formats.
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Transformer-based deep learning for predicting protein properties in the life sciences
eLife 12:e82819.
https://doi.org/10.7554/eLife.82819
