Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage is an AI model developed by Sun Yat-sen University, University of California Irvine, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences (China and United States), first published in July 2024. It works in the biology domain, on tasks such as transcriptomic prediction.

Training it took an estimated 3.9×10¹⁰ FLOP of compute. The model has 2,176 parameters.

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