Universal Cell Embedding (UCE)
Universal Cell Embedding maps any cell from any species into one shared space without retraining.
UCE (2023, Stanford/CZI) trained on 36M cells across 8 species using protein embeddings of genes; enables zero-shot cell type mapping.
Generic schematic · not to scale · placeholder for the ai computation front
Flagged finding · Neural network
How it works
Transformer over ESM2 protein embeddings of expressed genes.
Strengths
- Cross-species zero-shot
Limitations
- Coarse for fine perturbation effects
Since
2023
Latest papers
topLatest papers · live from Europe PMC
Query for this technology: (TITLE:"Universal Cell Embedding" OR ABSTRACT:"Universal Cell Embedding") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Universal Cell Embedding (UCE), not a curated reading list.