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Navigating cell state transitions with deep learning
We present CellNavi, a deep learning framework that predicts driver genes that orchestrate cellular transitions by modelling cell states on a biologically meaningful manifold. We demonstrated how CellNavi predictions of driver genes have potential applications in advancing cell therapy, uncovering key factors that drive cellular diseases, and identifying crucial genes involved in drug responses.
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