CPT-1 whole-proteome feature matrices (no-EVE set)

<p><strong>Cross-protein transfer learning for variant effect prediction</strong></p> <p>This repository contains the feature matrices for&nbsp;CPT-1 to make variant effect prediction on&nbsp;15,557 human proteins NOT&nbsp;in&nbsp;the EVE set (<a href="https://www.nature.com/articles/s41586-021-04043-8">Frazer et al., 2021</a>), initially released with the manuscript &quot;Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects&quot;.</p> <p>&nbsp;</p> <p><strong>Citation</strong></p> <p>Jagota, M.*, Ye, C.*, Albors, C., Rastogi, R., Koehl, A., Ioannidis, N., and Song, Y.S.&dagger;<br> &quot;Cross-protein transfer learning substantially improves zero-shot prediction of disease variant effects&quot;, bioRxiv (2022)</p> <p>*These authors contributed equally to this work.<br> &dagger;To whom correspondence should be addressed:&nbsp;<a href="mailto:yss@berkeley.edu">yss@berkeley.edu</a></p> <p>DOI:&nbsp;<a href="https://doi.org/10.1101/2022.11.15.516532">https://doi.org/10.1101/2022.11.15.516532</a></p>