edgeR
基于经验贝叶斯方法的差异表达分析工具，使用负二项分布建模并通过标签化分散估计提高统计效力。 该方法适合处理小样本和多因素实验设计，与 DESeq2 并列为最主流的差异表达分析工具。
| Property | Value |
|---|---|
| Purpose | 基于经验贝叶斯的差异表达分析 |
| Time Complexity | O(n * g) |
| Space Complexity | O(g) |
| Year | 2010 |
| Category | Gene Expression Analysis |
Complexity Analysis
- Time Complexity:
O(n * g) - Space Complexity:
O(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
DESeq2 · limma-voom · Bioconductor