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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 | Single-Cell & Spatial Biology HarmonyBroad Institute / Harvard Medical School (Raychaudhuri Lab)开源代码💻 CPU | ＋ 添加工具 |
|---|---|---|
| Category | Single-Cell & Spatial Biology | — |
| Subcategory | Single-Cell Batch Correction | — |
| Company | Broad Institute / Harvard Medical School (Raychaudhuri Lab) | — |
| Access mode | Open Source | — |
| Licence conditions | GPL-3.0 | — |
| Compute requirements | Standard CPU workstation | — |
| Biological application | Cross-tissue cell atlas integration, patient cohort harmonization, and multi-donor studies | — |
| Research workflow | Uncorrected PCA matrix -> Harmony batch alignment -> corrected embedding for clustering and UMAP | — |
| Evidence level | Peer-reviewed research (Nature Methods 2019) with thousands of citations | — |
| Commercial eligibility | Permissive open source release | — |
| Price | Free Open Source | — |
| Availability ⓘ | Available on CRAN, PyPI, and GitHub | — |
| Features | Iterative maximum diversity clustering to align batch-specific distributions, Extremely fast execution scaling linearly with millions of cells, Available in both R and Python (harmonypy) packages, Integrated natively into Seurat and Scanpy pipelines | — |
| Entry type | Software Library (R / Python) | — |
| AI role | Iterative Dimensionality Alignment | — |
| Input data | 未明确记录 | — |
| Output data | 未明确记录 | — |
| Validation | 未明确记录 | — |
| Type | Single-cell batch integration algorithm | — |
| Intended use | 未明确记录 | — |
| Compatibility | 未明确记录 | — |
| Manufacturer | Broad Institute of MIT and Harvard | — |
| Integration evidence | https://github.com/immunogenomics/harmony | — |
| Laboratory handoff | Produces clean cell clusters for cell-type sorting and downstream validation | — |