Tahoe-100M
Tahoe-100M is the biggest single-cell dataset ever released, built to teach AI how cancer cells respond to drugs.
Generated with the Mosaic platform to limit batch effects; used to train and benchmark State and other perturbation models.
Pages like this
not linked directly; found by shared links- CollectionArc Virtual Cell Atlas
Shares Arc Institute, Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tags data, virtual-cell.
- TechnologyscFoundation (BioMap)
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
- TechnologyGeneformer
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
- TechnologyNicheformer (spatial single-cell)
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
- TechnologyscGPT
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
- TechnologyGEARS and perturbation prediction benchmarks
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
- TechnologyTranscriptFormer and rBio (CZI virtual cell models)
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
- TechnologyUniversal Cell Embedding (UCE)
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell and the tag virtual-cell.
