Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs.
Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs.
复制标题
谱系：谱系图中的多变量临床数据可视化。
DOI：
10.1109/tvcg.2018.2811488
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发表时间：
2019
影响因子：
5.2
通讯作者：
Lex,Alexander
中科院分区：
文献类型：
--
作者：
Nobre,Carolina;Gehlenborg,Nils;Coon,Hilary;Lex,Alexander
对公众和个人健康构成重大挑战的大多数疾病是由遗传和环境因素共同造成的。在本文中，我们介绍了Lineage，一个新的可视化分析工具，旨在支持领域专家在家谱背景下研究这些多因素疾病。将病例之间的家族关系与其他数据结合起来，可以深入了解可能与此类疾病有关的共同基因组变异和共同环境暴露。我们引入了一种数据和任务抽象，并认为基于家谱、临床和遗传数据分析此类疾病的问题可以映射为一个多变量图形可视化问题。我们设计研究的主要贡献是树形多变量图的新颖视觉表示，我们将其应用于这些家庭中个体的家谱和临床数据。我们引入了数据驱动的聚合方法来扩展到多个家庭。通过将家谱图布局设计为与表格视图对齐，我们能够在家谱分析中包含广泛的、多元的属性，而不会使图混乱。我们通过与领域合作者进行案例研究来验证我们的设计。
The majority of diseases that are a significant challenge for public and individual heath are caused by a combination of hereditary and environmental factors. In this paper we introduce Lineage, a novel visual analysis tool designed to support domain experts who study such multifactorial diseases in the context of genealogies. Incorporating familial relationships between cases with other data can provide insights into shared genomic variants and shared environmental exposures that may be implicated in such diseases. We introduce a data and task abstraction, and argue that the problem of analyzing such diseases based on genealogical, clinical, and genetic data can be mapped to a multivariate graph visualization problem. The main contribution of our design study is a novel visual representation for tree-like, multivariate graphs, which we apply to genealogies and clinical data about the individuals in these families. We introduce data-driven aggregation methods to scale to multiple families. By designing the genealogy graph layout to align with a tabular view, we are able to incorporate extensive, multivariate attributes in the analysis of the genealogy without cluttering the graph. We validate our designs by conducting case studies with our domain collaborators.