Genomics & Single-Cell · Theodoris et al., Gladstone Institutes
Transformer over 30M transcriptomes for network inference and target prioritisation.
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5–30min
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About this model
Geneformer learns gene network context from rank-value encoded transcriptomes. Its in-silico deletion analysis is the interesting part: it proposes which genes matter for a disease phenotype without ever running the experiment.
Standardized I/O contract
Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.
Inputs
Expression matrix (h5ad URL)
Genes to delete in silico
Outputs
Prioritised genes with shift magnitude.
