scArches
基于模型手术的单细胞参考映射方法，能在预训练模型上直接整合新数据而无需从头再训练。 该方法通过结构化变分自编码器的参数转移实现高效的查询数据映射，支持增量学习和多参考场景。
| Property | Value |
|---|---|
| Purpose | 单细胞数据的参考映射与迁移学习 |
| Time Complexity | O(c * g * e) |
| Space Complexity | O(c * g) |
| Year | 2022 |
| Difficulty | Advanced |
| Languages | Python |
| Category | Single-Cell Genomics |
Complexity Analysis
- Time Complexity:
O(c * g * e) - 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
scVI · scANVI · Harmony