DESeq2
基于负二项分布的差异表达分析算法，使用收缩估计来提高方差估计的稳定性。 该方法特别适合处理小样本量的 RNA-seq 数据，是目前最广泛使用的差异表达分析工具之一。
| Property | Value |
|---|---|
| Purpose | RNA-seq 数据的差异表达分析 |
| Time Complexity | O(n * g) |
| Space Complexity | O(g) |
| Year | 2014 |
| 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
edgeR · limma · Bioconductor
Tags
rna-seq differential-expression negative-binomial statistical