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Updated: Jul 14, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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Published on: December 10, 2012

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博尔杜尔:贝叶斯层次模型用于无标签蛋白质组学,具有玛回归平均差异趋势

Philip Berg1, George Popescu1

  • 1Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, Mississippi, USA; Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi State, Mississippi, USA.

Molecular & cellular proteomics : MCP
|October 8, 2023
PubMed
概括

我们介绍了Baldur,这是一个用于分析定量蛋白质组学数据的贝叶斯模型. 巴尔杜尔显著改善了蛋白质和的差异检测,特别是在复杂的翻译后修改数据集中.

关键词:
贝叶斯的等级模型是贝叶斯的等级模型.数据独立的获取采集.经验上的贝叶斯贝叶斯.没有标签的量化量化.隐性玛混合物回归回归平均差异趋势的趋势蛋白质组学 蛋白质组学不确定性建模不确定性建模

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