PCAdapt
基于主成分分析的离群值检测方法，用于识别对群体结构有异常贡献的受选择位点。 该方法无需预先定义群体标签，可自动检测局部适应的遗传标记。
| Property | Value |
|---|---|
| Purpose | 基于 PCA 的选择信号和离群值检测 |
| Time Complexity | O(n * m * k) |
| Space Complexity | O(n * m) |
| Year | 2016 |
| Difficulty | Intermediate |
| Languages | R, C++ |
| Category | Population Genetics |
Complexity Analysis
- Time Complexity:
O(n * m * k) - 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
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