Tangible Tensors: An Interactive System for Grasping Trends in Biological Systems Modeling

R. Manshaei, Uzair Mayat, Aneesh P. Tarun, Sean DeLong, David Chiang, J. Digregorio, Shahin Khayyer, Apurva Gupta, M. Kyan, Ali Mazalek
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引用次数: 4

Abstract

Advances in biology and computational power have led to the availability of large biological data sets, yet these advances raise new design challenges. Designers must build effective tools that cater to the needs of biologists and data scientists in order to visually explore and manipulate data for modeling and analysis. We present the Tangible Tensors system, a new tensor-based visualization and tangible manipulation tool that serves to improve functionality over previous data analytics approaches. We designed a platform that supports iterative exploration of the solution space and better interpretation tools for biologists. User study results indicate that our system is easy to learn and use, and useful for data modeling and analysis tasks.
有形张量:生物系统建模趋势把握的互动系统
生物学和计算能力的进步导致了大型生物数据集的可用性,然而这些进步也带来了新的设计挑战。设计师必须构建有效的工具,以满足生物学家和数据科学家的需求,以便可视化地探索和操作数据进行建模和分析。我们提出了有形张量系统,这是一种新的基于张量的可视化和有形操作工具,用于改进以前数据分析方法的功能。我们设计了一个平台,支持解决方案空间的迭代探索,并为生物学家提供更好的解释工具。用户研究结果表明,该系统易于学习和使用,可用于数据建模和分析任务。
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