282-CellNavi: Predicts Cellular Transition Driver Genes
The article introduces CellNavi, a novel deep learning framework designed to predict pivotal genes that drive complex cellular state transitions. CellNavi utilizes a gene graph-enhanced cell state manifold learned from vast, high-dimensional single-cell transcriptomics data, which integrates directional gene graph priors to capture the intrinsic features of cellular states. The framework's efficacy is demonstrated across diverse biological scenarios, including T cell differentiation, neurodegenerative disease pathogenesis, and determining the mechanism of action for drug compounds…
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