| SOAPy: a Python package to dissect spatial architecture, dynamics, and communication |
| 論文作者 |
Wang, HQ; Li, JR; Jing, SY; Lin, P; Qiu, YL; Yan, X; Yuan, J; Tang, ZX; Li, Y; Zhang, HB; Chen, YJ; Wang, Z; Li, H |
| 期刊/會議名稱 |
GENOME BIOLOGY |
| 論文年度 |
2025 |
| 論文類別 |
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| 摘要 |
Advances in spatial omics enable deeper insights into tissue microenvironments while posing computational challenges. Therefore, we developed SOAPy, a comprehensive tool for analyzing spatial omics data, which offers methods for spatial domain identification, spatial expression tendency, spatiotemporal expression pattern, cellular co-localization, multi-cellular niches, cell-cell communication, and so on. SOAPy can be applied to diverse spatial omics technologies and multiple areas in physiological and pathological contexts, such as tumor biology and developmental biology. Its versatility and robust performance make it a universal platform for spatial omics analysis, providing diverse insights into the dynamics and architecture of tissue microenvironments. |
| 卷 |
26 |
| 影響因子 |
9.4 |
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