| [1] | Xia C.R., Cao Z.J., Tu X.M., et al. (2023). Spatial-linked alignment tool (SLAT) for aligning heterogenous slices. Nat. Comm. 14:7236. DOI:10.1038/s41467-023-43105-5 |
| [2] | Miao Z., Tian T., Chen W., et al. (2024). Spatial resolved transcriptomics: Computational insights into gene transcription across tissue and organ architecture in diverse applications. Innov. Life 2:100097. DOI:10.59717/j.xinn-life.2024.100097 |
| [3] | Peixoto R.D.S., Miller B.F., Brusko M.A., et al. (2025). Characterizing cell-type spatial relationships across length scales in spatially resolved omics data. Nat. Comm. 16:350. DOI:10.1038/s41467-024-55700-1 |
| [4] | Reynolds D.E., Roh Y.H., Oh D., et al. (2025). Temporal and spatial omics technologies for 4D profiling. Nat. Meth. 22:1408−1419. DOI:10.1038/s41592-025-02683-6 |
| [5] | Qiu X.J., Zhu D.Y., Lu Y.F., et al. (2024). Spatiotemporal modeling of molecular holograms. Cell 187:7351−7373. DOI:10.1016/j.cell.2024.10.011 |
| Zhao C., Li B., Yang Z., et al. (2025). Connecting the cell-type-specific microenvironment dynamics and function of organism through multimodal spatial omics profiling. The Innovation Medicine 3:100167. https://doi.org/10.59717/j.xinn-med.2025.100167 |
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Multimodal spatial omics profiling for tumor progression and embryonic development.