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DOI :
10.3791/4273-v
December 10th, 2012
Chapters
0:05
Title
2:43
Preprocessing: Preparing Input Files for Bayesian Change-point (BCP) Analysis & ChIP Read Densities for Detection of Enriched Islands in Diffuse Data
4:48
Estimating the Posterior Mean Read Density of Each Block using BCMIX Approximation
6:24
Post-processing Posterior Means of Diffuse Read Profiles
7:06
Results: Comparison of BCP and SICER in Analysis of Histone Modification Data
11:47
Conclusion
我们的贝叶斯变点(BCP)算法的基础上通过隐马尔可夫模型的造型变化点的国家的最先进的进步和应用染色质免疫沉淀测序(ChIPseq)数据分析。 BCP执行在广泛和点状数据类型,但擅长准确地识别健壮的,可重复的岛屿弥漫组蛋白富集。
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