{"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 - 2026-04-21","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/2f016d3c\"></iframe>","width":"100%","height":180,"duration":148,"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Briefings in bioinformatics (IF: 6.8)上的重要研究\"GALA: a unified landmark-free framework for coarse-to-fine spatial alignment across resolutions and modalities in spatial transcriptomics\"。研究团队开发了GALA框架，解决了空间转录组学中的对齐挑战，能够处理组织制备引起的几何畸变和不同平台间的分辨率差异。这一创新方法结合了全局仿射变换和局部微分形变，通过模态感知光栅化技术将不同数据整合到共享网格中。在人类和小鼠数据集上的测试显示，GALA在完整和部分组织对齐中均展现出比现有方法更高的准确性、计算效率和生物学可解释性，为多组学数据整合提供了强大工具。","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}