Nicheformer (spatial single-cell)
Nicheformer is a model trained on both dissociated and spatial data so it learns how a cell's neighbourhood shapes it.
Nicheformer (2024, Helmholtz Munich) pretrained on 110M cells (57M dissociated, 53M spatial) for niche and spatial-context tasks in tumours.
Generic schematic · not to scale · placeholder for the ai computation front
Flagged finding · Neural network
How it works
Nicheformer is a transformer with spatial context tokens.
Strengths
- Spatial-aware
Limitations
- Spatial data still sparse
Since
2024
Latest papers
topLatest papers · live from Europe PMC
Query for this technology: (TITLE:"Nicheformer" OR ABSTRACT:"Nicheformer" OR TITLE:"spatial single-cell" OR ABSTRACT:"spatial single-cell") 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 Nicheformer (spatial single-cell), not a curated reading list.