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将生物大模型、对接计算引擎与组学管线并排横向对比。按获取方式、硬件开销及细分领域灵活筛选，在一分钟内得出客观可辩护的技术选型方案。
| 技术参数指标 | ＋ 添加工具 | |
|---|---|---|
| Category | Single-Cell & Spatial Biology | — |
| Subcategory | Cell-Cell Communication | — |
| Company | University of California, Irvine (Nie Lab) | — |
| Access mode | Open Source | — |
| Licence conditions | GPL-3.0 | — |
| Compute requirements | Standard workstation CPU (R package) | — |
| Biological application | Tumor microenvironment analysis, immune cell crosstalk, and developmental biology | — |
| Research workflow | Single-cell expression matrix -> signaling pathway probabilities and network graphs | — |
| Evidence level | Peer-reviewed research (Nature Communications 2021) | — |
| Commercial eligibility | Open source release | — |
| Price | Free Open Source | — |
| Availability ⓘ | Available on GitHub and CRAN | — |
| Features | Comprehensive database of signaling interactions accounting for multi-subunit complexes, Quantification of incoming and outgoing signaling communication probability per cell type, Pattern recognition uncovering major signaling coordination pathways, Support for spatial transcriptomics to restrict communication by physical distance | — |
| Entry type | R Software Package | — |
| AI role | Network Inference & Pattern Recognition | — |
| Input data | 未明确记录 | — |
| Output data | 未明确记录 | — |
| Validation | 未明确记录 | — |
| Type | Intercellular signaling inference tool | — |
| Intended use | 未明确记录 | — |
| Compatibility | 未明确记录 | — |
| Manufacturer | UC Irvine | — |
| Integration evidence | https://github.com/jinworks/CellChat | — |
| Laboratory handoff | Validates predicted ligand-receptor pairs via antibody blockade or co-culture assays | — |