Harmony
面向多批次单细胞数据的整合方法，在低维嵌入空间中迭代校正批次效应并保留生物学信号。 该方法能与 Seurat、Scanpy 等分析流程无缝结合，是跨样本和跨平台单细胞整合分析的常用工具。
| Property | Value |
|---|---|
| Purpose | 多批次单细胞数据的批次校正与整合 |
| Time Complexity | O(c * k) |
| Space Complexity | O(c * k) |
| Year | 2019 |
| Category | Single-Cell Genomics |
Complexity Analysis
- Time Complexity:
O(c * k) - Space Complexity:
O(c * k)
Performance Insight: The time complexity of this algorithm is polynomial.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
Seurat · Scanpy · scVI