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Updated: Jun 17, 2026

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

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半参数实证贝叶斯方法用于在snATAC-seq中多重检测,具有概率的多原子集成

Yuntian Wu1, Haoran Hu2, Wei Chen2

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括

塞布拉可以准确地检测单核ATAC-seq数据中的多重组,从而改善单细胞分析. 这种新方法集成了多模式数据,用于强大的多重标识和错误发现率控制.

关键词:
经验上的贝叶斯贝叶斯.多重检测检测多重检测概率的整合概率的整合.半参数建模 半参数建模一个单细胞的多组组学.一个核心的ATAC-seqq.

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