State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Biomedical Pioneering Innovative Center (BIOPIC) and Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), Peking University, 100871, Beijing, China.
Changping Laboratory, 102206, Beijing, China.
Nat Commun. 2023 Nov 9;14(1):7236. doi: 10.1038/s41467-023-43105-5.
Spatially resolved omics technologies reveal the spatial organization of cells in various biological systems. Here we propose SLAT (Spatially-Linked Alignment Tool), a graph-based algorithm for efficient and effective alignment of spatial slices. Adopting a graph adversarial matching strategy, SLAT is the first algorithm capable of aligning heterogenous spatial data across distinct technologies and modalities. Systematic benchmarks demonstrate SLAT's superior precision, robustness, and speed over existing state-of-the-arts. Applications to multiple real-world datasets further show SLAT's utility in enhancing cell-typing resolution, integrating multiple modalities for regulatory inference, and mapping fine-scale spatial-temporal changes during development. The full SLAT package is available at https://github.com/gao-lab/SLAT .
空间分辨组学技术揭示了各种生物系统中细胞的空间组织。在这里，我们提出了 SLAT（空间关联对齐工具），这是一种基于图的算法，用于高效、有效地对齐空间切片。采用图对抗匹配策略，SLAT 是第一个能够在不同技术和模态之间对齐异质空间数据的算法。系统基准测试表明，SLAT 在精度、鲁棒性和速度方面优于现有技术。在多个真实数据集上的应用进一步表明，SLAT 可用于提高细胞分型分辨率、整合多种模式进行调控推断，以及绘制发育过程中的精细时空变化。完整的 SLAT 软件包可在 https://github.com/gao-lab/SLAT 获得。
