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  "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
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      "text": "Integrating deep learning with a knowledge graph of gene-gene relationships offers a solution.",
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      "text": "Graph-enhanced gene activation and repression simulator (GEARS) combines prior experimental knowledge to predict the gene expression outcome given unperturbed gene expression and the applied perturbation.\nFor example, GEARS can be trained on the gene expression profiles postperturbation for one-gene and two-gene experiments (b), and then be tasked with predicting the postperturbation gene expression for 5,460 pairwise combinations (c).",
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      "text": "Understanding how gene expression changes as a result of stimulating or repressing combinations of genes (i.e. perturbations) is important to unravel biological pathways relevant to health and disease. But combinatorial explosion precludes us from running these experiments in living cells in the lab. Integrating deep learning with a knowledge graph of gene-gene relationships offers a solution.",
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