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不确定性可视化：生物数据可视化中的概念、方法及应用

Uncertainty Visualization: Concepts, Methods, and Applications in Biological Data Visualization.

作者信息

Weiskopf Daniel

机构信息

Visualization Research Center (VISUS), University of Stuttgart, Stuttgart, Germany.

出版信息

Front Bioinform. 2022 Feb 17;2:793819. doi: 10.3389/fbinf.2022.793819. eCollection 2022.

DOI:10.3389/fbinf.2022.793819
PMID:36304261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9580861/
Abstract

This paper provides an overview of uncertainty visualization in general, along with specific examples of applications in bioinformatics. Starting from a processing and interaction pipeline of visualization, components are discussed that are relevant for handling and visualizing uncertainty introduced with the original data and at later stages in the pipeline, which shows the importance of making the stages of the pipeline aware of uncertainty and allowing them to propagate uncertainty. We detail concepts and methods for visual mappings of uncertainty, distinguishing between explicit and implict representations of distributions, different ways to show summary statistics, and combined or hybrid visualizations. The basic concepts are illustrated for several examples of graph visualization under uncertainty. Finally, this review paper discusses implications for the visualization of biological data and future research directions.

摘要

本文概述了不确定性可视化的一般情况，并给出了生物信息学中应用的具体示例。从可视化的处理和交互流程出发，讨论了与处理和可视化原始数据以及流程后期引入的不确定性相关的组件，这表明使流程阶段意识到不确定性并允许它们传播不确定性的重要性。我们详细介绍了不确定性可视化映射的概念和方法，区分了分布的显式和隐式表示、显示汇总统计信息的不同方式以及组合或混合可视化。通过不确定性下的几个图形可视化示例说明了基本概念。最后，这篇综述文章讨论了对生物数据可视化的影响以及未来的研究方向。

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