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使用置换矩阵和扇形图可视化集合一致性。

Visualizing Set Concordance with Permutation Matrices and Fan Diagrams.

作者信息

Kim Bohyoung, Lee Bongshin, Seo Jinwook

机构信息

Seoul National University Bundang Hospital, 300 Gumi-dong, Bundand-gu, Seongnam-si, Gyeonggi-do, 463-802, Korea, Email:

出版信息

Interact Comput. 2007 Dec;19(5):630-643. doi: 10.1016/j.intcom.2007.05.004.


DOI:10.1016/j.intcom.2007.05.004
PMID:19641637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2717505/
Abstract

Scientific problem solving often involves concordance (or discordance) analysis among the result sets from different approaches. For example, different scientific analysis methods with the same samples often lead to different or even conflicting conclusions. To reach a more judicious conclusion, it is crucial to consider different perspectives by checking concordance among those result sets by different methods. In this paper, we present an interactive visualization tool called ConSet, where users can effectively examine relationships among multiple sets at once. ConSet provides an overview using an improved permutation matrix to enable users to easily identify relationships among sets with a large number of elements. Not only do we use a standard Venn diagram, we also introduce a new diagram called Fan diagram that allows users to compare two or three sets without any inconsistencies that may exist in Venn diagrams. A qualitative user study was conducted to evaluate how our tool works in comparison with a traditional set visualization tool based on a Venn diagram. We observed that ConSet enabled users to complete more tasks with fewer errors than the traditional interface did and most users preferred ConSet.

摘要

科学问题解决通常涉及不同方法所得结果集之间的一致性(或不一致性)分析。例如,对相同样本采用不同的科学分析方法往往会得出不同甚至相互矛盾的结论。为了得出更明智的结论,通过检查不同方法所得结果集之间的一致性来考虑不同观点至关重要。在本文中,我们展示了一种名为ConSet的交互式可视化工具,用户可以通过它一次有效地检查多个集合之间的关系。ConSet使用改进的排列矩阵提供概览,以便用户轻松识别具有大量元素的集合之间的关系。我们不仅使用标准维恩图,还引入了一种名为扇形图的新图表,它允许用户比较两个或三个集合,而不会出现维恩图中可能存在的任何不一致情况。我们进行了一项定性用户研究,以评估与基于维恩图的传统集合可视化工具相比,我们的工具的工作方式。我们观察到,与传统界面相比,ConSet能让用户以更少的错误完成更多任务,并且大多数用户更喜欢ConSet。

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本文引用的文献

[1]
MatrixExplorer: a dual-representation system to explore social networks.

IEEE Trans Vis Comput Graph. 2006

[2]
An interactive power analysis tool for microarray hypothesis testing and generation.

Bioinformatics. 2006-4-1

[3]
Generalized Venn diagrams: a new method of visualizing complex genetic set relations.

Bioinformatics. 2005-4-15

[4]
GoMiner: a resource for biological interpretation of genomic and proteomic data.

Genome Biol. 2003

[5]
Cluster analysis and display of genome-wide expression patterns.

Proc Natl Acad Sci U S A. 1998-12-8

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