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The Role of Transfer Learning in Gene Formers Learning
Geneformer uses AI to virtually ask questions of simulated gene networks. It can take cells, take the set of genes that are expressed there, and delete one of them. Then it asks what does that do to the gene network within the cell? And what does that doing to the cell state? So for example, if we take a healthy cell and we delete a gene, does it move to a particular disease state? Or vice versa - in silico treatment analysis. Can we take a disease cell and delete a gene and see whether that moves it back towards the healthy state, which would indicate that that gene could be a candidate target for therapeutic intervention? Yeah. That's how Geneformer works