Visualization of Individuals Characterized by a Set of Synchronized Signals

Jiří Anýž, O. Štěpánková
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引用次数: 1

Abstract

In this paper we would like to suggest a modification of data vases visualization that can help understanding complex data where each subject is described by a vector of synchronized signals taken in the same time intervals. The advantages of our new approach were verified when visualizing set of Brdicka curves and answering an interesting question raised in proteomics about the Brdicka curves proportionality.
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以一组同步信号为特征的个体可视化
在本文中,我们想建议对数据花瓶可视化的修改,这可以帮助理解复杂的数据,其中每个主题都由在相同时间间隔内拍摄的同步信号向量描述。通过可视化Brdicka曲线集并回答蛋白质组学中关于Brdicka曲线比例性的有趣问题,验证了我们的新方法的优势。
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