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scFoundation (BioMap)

scFoundation is a 100-million-parameter model trained on 50 million cells, from China's BioMap.

Nature Methods 2024: asymmetric encoder-decoder over all ~19k genes; tasks include read-depth enhancement, drug response and perturbation prediction.

Generic schematic · not to scale · placeholder for the ai computation front
Flagged finding · Neural network

How it works

scFoundation uses masked expression modelling with a full gene vocabulary.

Strengths
  • Full-gene modelling
Limitations
  • Compute-heavy
Since
2024

Latest papers

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Latest papers · live from Europe PMC
Open in Europe PMC

Query for this technology: (TITLE:"scFoundation" OR ABSTRACT:"scFoundation" OR TITLE:"BioMap" OR ABSTRACT:"BioMap") 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 scFoundation (BioMap), not a curated reading list.

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