Nature, Published online: 31 May 2023; doi:10.1038/d41586-023-01504-0
A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions about gene-network biology in instances in which gene-expression data are limited. Geneformer can be tuned for many downstream applications to accelerate discovery of key gene-network regulators and candidate therapeutic targets.
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