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1029-D-SPIN: Generative Regulatory Network Modeling

The paper introduces D-SPIN, a sophisticated computational framework designed to build mechanistically interpretable and generative models of gene regulatory networks using single-cell RNA sequencing data. By analyzing how cells respond to thousands of distinct perturbations, such as drug treatments or gene knockdowns, the framework can simulate and predict diverse cellular states and population structures. Unlike many black-box AI methods, this tool explicitly models the internal logic of biological pathways, allowing researchers to identify key regulators of cell fate and understand how…

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