A hierarchical multimodal model fusing morphology, expression, and spatial context that generates target-state cell morphologies from optimal-transport weak pairs, trained on a 25.9M-cell atlas and benchmarked against 18 baselines.
scmulan: A multitask generative pre-trained language model for single-cell analysis
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SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
A hierarchical multimodal model fusing morphology, expression, and spatial context that generates target-state cell morphologies from optimal-transport weak pairs, trained on a 25.9M-cell atlas and benchmarked against 18 baselines.