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14 天
PRAGA:首个自适应图学习框架,颠覆空间多模态组学解析!
在科技与生物学交汇的新纪元,动态原型对比学习和自适应图结构正引领空间多组学解析的变革。黄新磊等人在其最新的研究中,提出了一个创新的解析框架——PRAGA(Prototype-aware Graph Adaptive Aggregation),让我们在没有人工标注和测序点类别先验的条件下,重新审视和理解空间多模态组学数据,这一技术的突破让科学家们在探索生物复杂性的道路上又向前迈进了一步。 背景解析: ...
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