计算生物学
组学
生物
数据科学
计算机科学
生物信息学
作者
Kyle Coleman,Amelia Schroeder,Mingyao Li
出处
期刊：Nature Methods
[Nature Portfolio]
日期：2024-08-01
卷期号：21 (8): 1378-1381
被引量：30
标识
DOI：10.1038/s41592-024-02363-x
摘要
Spatial omics technologies have transformed biomedical research by offering detailed, spatially resolved molecular profiles that elucidate tissue structure and function at unprecedented levels. AI can potentially unlock the full power of spatial omics, facilitating the integration of complex datasets and discovery of novel biomedical insights.
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