The researchers introduced TranscriptFormer, a family of generative foundation models designed to analyze single-cell transcriptomic data across 1.53 billion years of evolution. By training on up to 112 million cells from 12 diverse species, the model learns to represent cellular states and gene relationships in a species-agnostic embedding space. It achieves state-of-the-art performance in classi...去小宇宙查看完整单集简介
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