390-CellOT: Learning Single-Cell Perturbation Responses

The paper introduces CellOT, a machine learning framework designed to predict how individual cells respond to biological stimuli, such as drugs or genetic changes. Because measuring a cell's molecular state typically destroys it, researchers cannot observe the same cell before and after a treatment; CellOT overcomes this "pairing problem" by using neural optimal transport to map unperturbed cell p...去小宇宙查看完整单集简介
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