Monocle 3
面向单细胞转录组的轨迹推断与细胞状态分析框架，可学习发育路径、伪时间顺序和分化分支结构。 该方法常用于研究细胞命运转换和动态生物过程，与聚类和降维分析形成互补的下游解释能力。
| Property | Value |
|---|---|
| Purpose | 单细胞数据的轨迹推断与伪时间分析 |
| Time Complexity | O(c * g) |
| Space Complexity | O(c * g) |
| Year | 2019 |
| Category | Single-Cell Genomics |
Complexity Analysis
- Time Complexity:
O(c * g) - Space Complexity:
O(c * g)
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 · Slingshot