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CELL-E: A Text-To-Image Transformer for Protein Localization Prediction
Accurately predicting cellular activities of proteins based on their primary amino acid sequences would greatly improve our understanding of the proteome. In this paper, we present CELL-E, a text-to-image transformer model that generates 2D probability density images describing the spatial distribut...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Journal Experts
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312902/ https://www.ncbi.nlm.nih.gov/pubmed/37398207 http://dx.doi.org/10.21203/rs.3.rs-2963881/v1 |