{"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 - 2025-12-16","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/7816955e\"></iframe>","width":"100%","height":180,"duration":152,"description":"科研喵使用AI读文献，祝你效率百倍，访问labcat.com.cn下载。今天我们关注发表在Nature Methods（影响因子36.1）上的重要论文\"MultiCell: geometric learning in multicellular development\"。这项研究由MIT的Yang H团队开发了一种革命性的几何深度学习方法，能够准确捕捉细胞间复杂的相互作用。通过统一的图数据结构，MultiCell实现了果蝇胚胎发育过程中单细胞行为的精确预测，并揭示了细胞几何和连接网络对形态发生的关键作用。这一突破性技术为建立动态多细胞发育过程的数据驱动定量研究平台铺平了道路，有望推动发育生物学和再生医学的重大进展。","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}