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基于贝塔二项分布层次模型的差异甲基化分析方法,可在生物学重复之间稳健估计离散度并检测 DMR。 该方法适用于全基因组和靶向亚硫酸氢盐测序数据,是比较不同条件甲基化变化的常用统计框架。

PropertyValue
Purpose基于层次统计模型检测差异甲基化位点和区域
Time ComplexityO(n * s)
Space ComplexityO(n)
Year2014
CategoryEpigenomics

Complexity Analysis

  • Time Complexity: O(n * s)
  • Space Complexity: O(n)

Performance Insight: The time complexity of this algorithm is polynomial. Linear space can often be reduced by constant factors via sliding-window techniques.

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

methylKit · bsseq · Bismark

Tags

methylation beta-binomial dmr statistical

Released under the MIT License.