https://github.com/animesh/cpt
Cross-protein transfer learning for variant effect prediction
Science Score: 23.0%
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Cross-protein transfer learning for variant effect prediction
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- Host: GitHub
- Owner: animesh
- License: bsd-3-clause
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# CPT Cross-protein transfer learning for variant effect prediction This repository contains the variant effect preditions of CPT-1 for 18,602 human proteins, initially released with the manuscript "Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects". The proteins are split into two sets. `transter_proteome_eve`: Proteins in the EVE set ([Frazer et al., 2021](https://www.nature.com/articles/s41586-021-04043-8)) `transfer_proteome_xgimpute`: Proteins not in the EVE set. Predictions for these proteins use imputed values for features depending on the EVE MSA. ## Citation Jagota, M.\*, Ye, C.\*, Rastogi, R., Albors, C., Koehl, A., Ioannidis, N., and Song, Y.S.†
"Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects", bioRxiv (2022) \*These authors contributed equally to this work.
†To whom correspondence should be addressed: yss@berkeley.edu DOI: https://doi.org/10.1101/2022.11.15.516532
Owner
- Name: Ani
- Login: animesh
- Kind: user
- Location: Norway
- Company: Norwegian University of Science and Technology
- Website: https://www.fuzzylife.org
- Twitter: animesh1977
- Repositories: 749
- Profile: https://github.com/animesh
A medical graduate from Delhi University with post-graduation in bioinformatics from Jawaharlal Nehru University, India.