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Attribute
Single-cell, Spatial & Cytometry

GEARS

Stanford SNAP / GEARS authors
Choose a productChoose a product
CategorySingle-cell, Spatial & Cytometry
CompanyStanford SNAP / GEARS authors
PriceSee project licence and access terms
StatusStatus not confirmed
AvailabilityPublic research software
Last checked15/09/2026
FeaturesPredicting transcriptional perturbation outcomes, Documented research workflow
Entry typeResearch software / model
Access modePublic code
AI roleGeometric deep-learning model
Input dataSingle-cell perturbation screen data
Output dataPredicted transcriptional responses
Licence conditionsCheck the selected release, model and dependencies
Commercial eligibilityNot independently confirmed
Compute requirementsDataset and implementation dependent; no configuration benchmarked
ValidationNot recorded
TypeNot recorded
Intended useNot recorded
CompatibilityNot recorded
LimitationsCross-cell-type transfer is not supported by the documented scope; combinatorial prediction requires combinatorial training examples.
Evidence levelProject documentation; not a local benchmark