莫伊兰:一个R包,用于构建可重复的管道,用于应用和比较多omics集成方法
Olivia Angelin-Bonnet1, Lindy Guo2, Roy Storey3
1Data Science, Bioeconomy Science Institute, Palmerston North, 4442, New Zealand.
Bioinformatics (Oxford, England)
|February 15, 2026
概括
通过标准化预处理和分析,moiraine R包简化了多领域数据集成. 这种工具有助于可重复的管道和对复杂的生物数据集的不同整合方法的可靠比较.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 有许多用于多领域数据集成的统计方法.
- 现有的软件工具缺乏标准化的数据输入/输出格式,使比较复杂化.
- 这种异质性阻碍了整合工具的有效应用和基准评估.
研究的目的:
- 为可重复的多omics集成管道开发一个标准化的R包.
- 为了促进多omics数据集的预处理,格式化和集成.
- 为了使不同集成方法的简化解释,评估和比较.
主要方法:
- 开发Moiraine R包的发展.
- 实施标准化的数据预处理和格式化.
- 整合可视化工具用于结果解释.
- 促进跨不同集成算法进行比较分析.
主要成果:
- 莫莱恩包可以实现可重复的多omics集成.
- 它自动化数据格式化,并通过可视化简化结果解释.
- 用户可以轻松比较各种整合工具的结果,以评估其稳定性.
结论:
- 莫伊莱恩提高了多omics集成工具的可用性和可比性.
- 该方案促进了多学科数据分析中的可重复性研究.
- 它提供了一个灵活的框架,用于探索和验证多学科整合战略.
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