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.
More News
Author Correction: Bitter taste receptor activation by cholesterol and an intracellular tastant – Nature
Audio long read: How does ChatGPT ‘think’? Psychology and neuroscience crack open AI large language models
Ozempic keeps wowing: trial data show benefits for kidney disease