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bubbleHeatmap:一个R包,用于可视化夜健康代谢学数据集
Ruth Boxall1,2, Michael V Holmes1,2, Robin G Walters1,2
1Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Bioinformatics advances
|September 26, 2023
概括
我们开发了 bubbleHeatmap,这是一个用于可视化复杂数据集的 R 包. 这种工具有助于在脂蛋白子类中显示多个代谢学指标,有利于大型生物库数据分析.
科学领域:
- * 生物信息学是一门学科.
- *数据可视化 *数据可视化
- * 代谢学 代谢学
背景情况:
- *高吞吐量平台产生大,复杂的数据集,如251个代谢指标.
- *可视化这些多维数据,如14个脂蛋白子类中的12个测量,是具有挑战性的.
- *现有的可视化方法可能无法充分反映大型生物库中复杂的关系.
研究的目的:
- * 推出 bubbleHeatmap,这是一个 R 包,旨在增强数据可视化.
- * 提供一种新的绘图方法,将气泡图和热图结合起来,用于二维分类网格.
- * 方便分析和解释来自高通量平台的复杂代谢数据.
主要方法:
- * 泡热图R套件的开发.
- * 整合了泡图和热图功能.
- *应用程序可视化代谢数据,特别是基于H-NMR平台的251项测量.
- *使用14个脂蛋白子类的12项测量数据进行演示.
主要成果:
- * bubbleHeatmap提供了一种方便的方法,可以在分类网格上显示每个数据点的两个数值变量.
- * 该套件特别有利于可视化广泛的代谢概况.
- * 为使用带有大型生物库数据的泡热图提供了一个图形模板.
结论:
- * bubbleHeatmap 提供了可视化复杂,高维数据的有效解决方案.
- * R 包增强了来自 Nightingale Health 等平台的新陈代谢资料的解释性.
- * 它在大型生物库中的应用可以帮助发现新的生物学见解.
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