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College of Computer Science and Electronic Engineering , Hunan University , Changsha , China
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A single model now captures DNA-derived gene identities and RNA expression, unlocking panoramic transcriptomic interpretation across species and revealing hidden cellular programs.
Assigning one gene per pixel, not spatial smoothness, unlocks superior predictive performance in gene expression-to-image learning.