spammR:一个用于分析和整合空间多原子测量的R包
bioRxiv : the preprint server for biology
|September 5, 2025
概括
一个新的R包,spammR,提供空间数据分析工具,特别是质谱. 它解决了样本规模小和数据缺失等挑战,使数据驱动的洞察力从空间多层次的测量中获得.
科学领域:
- 空间经济学和多经济学一体化
- 计算生物学和生物信息学
- 基于质谱的欧米分析
背景情况:
- 空间奥米克技术迅速发展,使得分子数据的高分辨率测量成为可能.
- 目前的分析工具主要支持空间转录组,限制了其他类型的应用.
- 基于质谱的空间奥米克数据集具有独特的挑战,包括小样本大小,空间稀疏性和缺失的数据.
研究的目的:
- 介绍spammR,一个用于端到端分析空间数据的R包.
- 专门解决质谱学衍生空间奥米克数据集的分析挑战.
- 在没有对特定基因或蛋白质的先验知识的情况下,提供数据驱动的方法来分析空间多组测量.
主要方法:
- 开发用于空间数据分析的spammRR包.
- 适用于小样本大小,空间稀疏性和质谱学中常见的缺失数据的方法的实施.
- 专注于完全数据驱动的分析框架.
主要成果:
- spammR能够对空间数据进行全面分析,特别是来自质谱的数据.
- 该套件有效处理具有有限样本和显著缺失值的数据集.
- 它有助于数据驱动的空间多态图案的探索.
结论:
- spammR为推进基于质谱的空间奥米学研究提供了有价值的计算工具.
- 该方案将对具有挑战性的空间多态数据集的分析进行民主化.
- 通过强大,数据驱动的空间分析来支持新发现.
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