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...

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Detalles Bibliográficos
Autores principales: Khwaja, Emaad, Song, Yun S., Huang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
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

Internet

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

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