BOLT-LMM
基于线性混合模型的大规模全基因组关联分析工具，使用高效的统计方法校正 群体分层和亲缘关系。该方法可处理数十万样本的关联分析，是大规模生物银行 数据分析的首选工具。
| Property | Value |
|---|---|
| Purpose | 大规模线性混合模型关联分析 |
| Time Complexity | O(n * m) |
| Space Complexity | O(n * m) |
| Year | 2015 |
| Difficulty | Intermediate |
| Languages | C++ |
| Category | Population Genetics |
Complexity Analysis
- Time Complexity:
O(n * m) - Space Complexity:
O(n * m)
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
GCTA · SAIGE · REGENIE