{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"萌喵读文献-生物信息学","title":"今日生物信息学最高分文献 - 2025-12-02","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/562cf3de\"></iframe>","width":"100%","height":180,"duration":174,"description":"科研喵使用AI读文献，祝你效率百倍，访问labcat.com.cn下载。本期关注发表在Nature Methods (IF: 36.1) 上的重要论文\"Multimodal foundation transformer models for multiscale genomics\"。这项研究探讨了Transformer架构在多尺度基因组学中的革命性应用，从单模态到能够整合基因组序列、单细胞转录组和空间数据的大规模多模态基础模型。研究者将现有模型分为三个层次，评估了它们在细胞注释、预测和插值任务中的表现，并提出了通过交叉注意力机制设计\"超级Transformer\"架构的创新方案。这项工作为整合异构模态数据提供了新思路，有望加速精准医学和复杂疾病研究的进程。","thumbnail_url":"https://img.transistorcdn.com/38WU46uKrju37cyiLrKcVSktFL4vxBb_oTgbpM_2CRw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOGU2/ZmEyYWE0MDZkNGFj/NWMzNGY5ZmU4YTk0/ZTBlNS5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}