Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Center for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
Nat Commun. 2021 Sep 6;12(1):5283. doi: 10.1038/s41467-021-25557-9.
Spatially resolved transcriptomic data demand new computational analysis methods to derive biological insights. Here, we comment on these associated computational challenges as well as highlight the opportunities for standardized benchmarking metrics and data-sharing infrastructure in spurring innovation moving forward.
空间分辨转录组学数据需要新的计算分析方法来获得生物学见解。在这里，我们对这些相关的计算挑战发表评论，并强调标准化基准测试指标和数据共享基础设施在推动创新方面的机遇。
Zotero 插件