精确和近似的面积成比例的圆形文氏图和欧拉图。

Exact and approximate area-proportional circular Venn and Euler diagrams.

机构信息

Systat Software, Inc., 225 W Washington St., Suite 425, Chicago, IL 60606, USA.

出版信息

IEEE Trans Vis Comput Graph. 2012 Feb;18(2):321-31. doi: 10.1109/TVCG.2011.56.

Abstract

Scientists conducting microarray and other experiments use circular Venn and Euler diagrams to analyze and illustrate their results. As one solution to this problem, this paper introduces a statistical model for fitting area-proportional Venn and Euler diagrams to observed data. The statistical model outlined in this paper includes a statistical loss function and a minimization procedure that enables formal estimation of the Venn/Euler area-proportional model for the first time. A significance test of the null hypothesis is computed for the solution. Residuals from the model are available for inspection. As a result, this algorithm can be used for both exploration and inference on real data sets. A Java program implementing this algorithm is available under the Mozilla Public License. An R function venneuler() is available as a package in CRAN and a plugin is available in Cytoscape.

摘要

科学家们在进行微阵列和其他实验时,使用圆形文氏图和欧拉图来分析和说明他们的结果。作为解决此问题的一种方法,本文提出了一种统计模型,用于将面积比例文氏图和欧拉图拟合到观测数据。本文中概述的统计模型包括一个统计损失函数和一个最小化过程,这使得首次能够对文氏/欧拉面积比例模型进行正式估计。为该解决方案计算了零假设的显著性检验。模型的残差可用于检查。因此,该算法可用于对真实数据集进行探索和推断。一个实现此算法的 Java 程序可根据 Mozilla 公共许可证获得。一个在 CRAN 中作为包提供的 R 函数 venneuler(),以及 Cytoscape 中的一个插件。

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